Total 12 job vacancies by Rapsodo Pte. Ltd.

Rapsodo is a global sports technology companywith offices in Singapore, the United States, Türkiye, Japan, and Malaysia. Webuild data-driven, portable sports analytics products that help athletesunderstand and improve their performance.

From Major League Baseball pitchers toprofessional golfers, our products are used globally across all levels ofsport. Delivering these products requires strong execution across hardware,software, and real-world environments.

We operate as a globally distributed team,enabled by ownership, clarity, and disciplined execution.

Weare innovative, focused, and rapidly growing. We are continuously looking forteam players who will stop at nothing to deliver state-of-the-art solutions aspart of Team Rapsodo.

Join our growingteam as an HR Intern supporting core HR operations that require accuracy,coordination, and consistent follow-through.

You will be part ofthe HR team supporting day-to-day operations across the employee lifecycle.This role requires professionalism and discretion due to exposure to sensitiveinformation.

About the Role

You will supportday-to-day HR operations across recruitment and employee lifecycle processes,with a focus on execution, accuracy, and follow-through.

This is a hands-onrole where you will be trusted to handle real work. You will manage details,follow up with stakeholders, and ensure tasks are completed accurately and ontime.

The role is bestsuited for individuals who are reliable, detail-oriented, and able to workindependently once given direction.

Key Responsibilities

HR Operations & Recruitment

• Maintain accurate and up-to-date candidate records in the applicanttracking system (ATS)
• Track interview progress and follow up with stakeholders to ensuretimely movement
• Coordinate interviews and hiring logistics
• Follow up with hiring managers on interview feedback and pending actions

Process &Data Discipline

• Ensure HR data is accurate, complete, and properly documented
• Track key HR data points (headcount, joiners/leavers, status changes)
• Maintain recruitment, onboarding, and other trackers with consistentupdates
• Prepare simple weekly summaries (e.g., hiring pipeline status)
• Support process mapping and documentation of HR workflows
• Identify gaps or inefficiencies and propose practical improvements
• Ensure tasks are completed accurately and on time, as delays or errorscan impact hiring timelines and employee experience

Coordination& Execution

• Coordinate with IT and other teams for new hire onboarding
• Follow up on pending documents, approvals, or actions acrossstakeholders
• Coordinate across teams and time zones (Singapore, US, Japan, etc.)
• Escalate when timelines are at risk or tasks are delayed
• Assist with coordination of tasks and activities where required

What We Look For

• Able to commit to a 6-month full-time internship starting May 2026
• Currently pursuing a Diploma or Degree in Human Resource Management,Business, Humanities or a related field
• Reliable and follows through on tasks proactively
• Pays attention to details and takes pride in getting things right
• Comfortable working independently once given direction
• Able to organize tasks and manage multiple priorities
• Communicates clearly and simply
• Comfortable working in a fast-paced, multicultural environment
• Enjoys structured, execution-focused work and seeing tasks through tocompletion
• Being a sports enthusiast is a plus, but not required.

Rapsodo is a global sports technology companywith offices in Singapore, the United States, Türkiye, Japan, and Malaysia. Webuild data-driven, portable sports analytics products that help athletesunderstand and improve their performance.

From Major League Baseball pitchers toprofessional golfers, our products are used globally across all levels ofsport. Delivering these products requires strong execution across hardware,software, and real-world environments.

We operate as a globally distributed team,enabled by ownership, clarity, and disciplined execution.

Weare innovative, focused, and rapidly growing. We are continuously looking forteam players who will stop at nothing to deliver state-of-the-art solutions aspart of Team Rapsodo.

Join the teamas an IT Intern supporting core IT operations that require accuracy,coordination, and consistent follow-through.

You will be part of the IT team supporting day-to-day operations acrosssystems, devices, and user support. This role requires professionalism anddiscretion due to exposure to sensitive information.

About the Role

You will support day-to-day IT operations across the organization, with a focus on hands-ontroubleshooting, system support, and execution.

This is apractical, hands-on role where you will work on real systems and devices usedby teams across Singapore and globally. You will be exposed to how IT supportsa fast-paced, international company, and will build a strong foundation in IToperations, user support, and systems thinking.

The role is bestsuited for individuals who enjoy solving problems, working with technology, andtaking ownership of tasks from start to finish.

Key Responsibilities

IT Operations & Support

• Set up and configure laptops, devices, and user accounts for new hires
• Provide first-level IT support (hardware, software, network access,basic troubleshooting)
• Assist users with day-to-day technical issues in a timely and structuredmanner
• Support onboarding and offboarding processes from an IT perspective

Systems &Tools

• Support administration of internal tools (e.g. Google Workspace,Microsoft 365, access management)
• Assist in maintaining user access, permissions, and system hygiene
• Help track and manage IT assets (laptops, peripherals, inventory)

Process &Documentation

• Document common issues, fixes, and IT processes for internal reference
• Maintain accurate records of support requests and resolutions
• Identify recurring issues and suggest simple improvements or fixes

Coordination& Execution

• Work with cross-functional teams (HR, Finance, Engineering) onIT-related requests
• Follow up on pending tasks and ensure timely completion
• Escalate more complex technical issues when required

What We Look For

• Able to commit to a full-time internship for 5 months or more
• Currently pursuing a Diploma in Information Technology, Cybersecurity,or related field
• Hands-on interest in IT (e.g. troubleshooting, setting up devices,building PCs is a plus)

• Willing to learn, take initiative, and contribute to day-to-dayoperations
• Organized and able to manage tasks independently once given direction
• Strong problem-solving mindset with attention to detail
• Comfortable communicating with both technical and non-technical users
• Able to handle sensitive information with care and professionalism
• Comfortable working in a fast-paced, multicultural environment

Rapsodo is a global Sports Technology company with offices in the USA, Singapore, Turkey, and Japan. We develop cutting-edge sports analytics products that are data-driven, portable, and easy to use, empowering athletes at all levels to analyze and improve their performance. From Major League Baseball pitchers to professional Golf tour players, athletes around the world rely on Rapsodo technology to refine their game.

Job Description

Our algorithm team designs and implements state-of-the-art computer vision and deep learning solutions for Rapsodo’s advanced sports analytics products. As a Senior Computer Vision Engineer, you will develop cutting-edge 3D vision, image processing, and AI-driven measurement solutions that help athletes reach their full potential.

This role requires a strong foundation in computer vision, deep learning, and embedded AI, with opportunities to contribute to both new product development and optimization of existing models for edge computing.

Key Responsibilities

• Develop Advanced Vision Algorithms – Design, implement, and optimize 3D vision, image classification, segmentation, and feature extraction algorithms.
• Neural Network Development – Architect and train CNNs and custom deep learning models using PyTorch, TensorFlow, or ONNX for real-time applications.
• Embedded AI & Edge Optimization – Optimize and port vision models to embedded platforms (ARM, GPU, TPU, or custom accelerators) for high-performance, low-latency inference.
• Camera Calibration & 3D Vision – Develop and enhance multi-camera calibration, stereo vision, and 3D reconstruction techniques.
• Software Architecture & API Design – Design scalable computer vision pipelines and APIs for seamless integration with Rapsodo’s product ecosystem.
• Performance Optimization – Apply quantization, pruning, and model compression techniques to enhance real-time inference efficiency on resource-constrained
• Education – Master’s or Ph.D. in Computer Science, AI, Robotics, or a related field, specializing in Computer Vision & Image Processing.
• Experience – 6-8+ years of hands-on experience in computer vision, deep learning, and real-time image processing.

Technical Expertise:

• 3D Vision & Camera Calibration – Strong foundation in multi-camera setups, stereo vision, and geometric transformations.
• Deep Learning & Vision Models – Expertise in CNNs, object detection, pose estimation, segmentation, and feature extraction.
• AI Frameworks & Optimization – Hands-on experience with PyTorch, TensorFlow, OpenCV, and model compression techniques (quantization, pruning, distillation, etc.).
• Embedded Deployment – Experience optimizing and deploying deep learning models on ARM, GPU, TPU, or custom edge AI hardware.
• Programming & Software Development – Strong proficiency in C/C++ with some Python, and experience in software architecture and API design.
• Problem-Solving & Communication – Strong analytical skills and ability to collaborate across teams, explaining technical concepts to diverse stakeholders.

Why Join Us?

• At Rapsodo, you will work on high-impact, real-time AI-driven vision systems that push the boundaries of sports analytics. Join a fast-growing, innovation-driven team to shape the future of sports technology.
• Apply now and be part of our cutting-edge vision engineering team!

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state of the art solutions as part of Team Rapsodo.

This role requires a highly versatile skill set and you will have opportunities to contribute to all relevant domains. Your responsibilities will include development and enhancing of new and existing products.

Responsibilities:

• Hardware Design, document and develop optimized hardware- PCB Layout and Schematic Capture
• Testing, bug fixing, improving hardware performance
• Create schematic and PCB Library and Bill of Materials
• Preparing plans and documentation to support product through certification/approval
• Assisting on product issues both during production and in-service

Requirements:

• Bachelor's Degree in Electrical or Electronics Engineering preferred
• Minimum 5 years of experience in Hardware Design, Validation, & Optimization
• Proven Experience in High Speed Digital board design with experience in interfacing bus standards like DDR3/4/ LVDS/MIPI/PCIe etc.
• Analog Circuit Design & Simulation
• Experience in developing complex CPU and microcontroller-based system
• Experience in dealing with regulatory requirements such as FCC/CE
• Experience in Design Tools (Altium Designer, Pads logic and layout, Allegro or OrCAD, Microsoft Office package, JIRA, VHDL, Linux)
• Ability to work in a dynamic environment with good communication and interpersonal skills

Are you an engineer at heart with a passion for solving complex technical challenges? Do you thrive on leading teams to develop high-performance embedded systems that push the boundaries of AI, computer vision, and real-time data processing? At Rapsodo, we turn cutting-edge technology into game-changing solutions.

As a global leader in sports vision technology, we design and develop advanced hardware products integrating cameras, radars, deep learning, and embedded systems powered by multiprocessor ARM architectures. Our solutions deliver real-time AI-driven insights, high-performance computing, and data precision to help athletes and teams elevate their game.

We are looking for an Engineering Manager to drive the end-to-end development of our embedded technology stack. You will lead teams, make critical technical decisions, and ensure the successful execution of high-performance embedded systems, firmware, and AI-driven applications from concept to deployment.

Key Responsibilities

Technical Leadership

• Oversee the architecture, development, and optimization of embedded firmware, middleware, and system software for high-performance multi-processor ARM-based systems.
• Drive the integration of computer vision, deep learning models, radar signal processing, and embedded systems into efficient and scalable hardware solutions.
• Ensure seamless middleware implementation for real-time inter-process communication, memory management, and low-latency execution on embedded platforms.
• Lead firmware development, ensuring robust device control, driver optimization, and real-time data acquisition from cameras, radars, and sensors.
• Optimize system performance, power efficiency, and reliability for edge computing and AI acceleration applications.
• Develop and optimize Embedded Linux environments, including kernel modifications, device drivers, and system-level optimizations for high-performance computing.
• Stay ahead of the latest embedded systems technologies, AI-driven hardware architectures, and hardware acceleration frameworks.

Project Execution & Delivery

• End-to-End Project Ownership: Drive the full product lifecycle—from concept, design, development, and prototyping to manufacturing, testing, and deployment.
• Team & Stakeholder Management: Collaborate with cross-functional teams (software, hardware, ML engineers) and manage technical challenges, scope, and timelines.
• Execution & Risk Management: Identify and mitigate technical, operational, and execution risks to keep projects on track.
• Ensure the on-time and high-quality execution of engineering projects, implementing best practices in software and hardware development.

Requirements

• MS/MEng/PhD in Electrical Engineering, Computer Engineering, or a related field
• 10+ years of experience in embedded systems, firmware, middleware, and computer vision applications
• Strong expertise in C/C++, Python for real-time, low-latency applications in computer vision or signal processing
• Deep understanding of middleware frameworks, multi-core processing, inter-process communication, and Embedded Linux development
• Hands-on experience with ARM multi-core architectures, and real-time embedded systems
• Strong expertise in firmware development, low-level device drivers, and kernel-space programming for Embedded Linux
• Experience with radar signal processing, sensor fusion, and deep learning frameworks (TensorFlow, PyTorch, ONNX, etc.)
• Proven experience managing complex hardware-software integration projects
• Strong leadership, problem-solving, and project management skills
• Excellent communication skills to translate technical details to both engineering teams and business stakeholders
• Entrepreneurial mindset—ability to thrive in a fast-paced, dynamic, and highly technical environment

Benefits

At Rapsodo, you will have the opportunity to

• Work on cutting-edge technology that integrates AI, sensor fusion, and high-performance embedded computing,
• Be part of a highly skilled, multidisciplinary engineering team driving innovation,
• Lead end-to-end product development with real-world impact,
• Shape the future of sports through advanced embedded systems and AI-driven solutions.

If you’re passionate about solving complex engineering challenges and want to be at the forefront of next-generation technology, we’d love to hear from you.

Apply now and be part of the team that’s redefining performance through innovation!

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

We are building computer-vision capabilities on Linux-based edge devices. This role owns the embedded software that takes models from “works on a workstation” to “runs reliably, efficiently, and measurably fast on-device.” You will develop and optimize inference pipelines, integrate vendor runtimes on NPUs/MPUs, and work close to the Linux kernel when needed (performance, memory, I/O, and driver interactions).

What you will do

• Build and maintain production-grade embedded software for on-device computer vision inference (camera ingest, preprocessing, inference, postprocessing, telemetry) primarily in C++, with Rust as an option where appropriate.
• Integrate and run deep learning models using edge runtimes/toolchains (e.g., TensorRT, TFLite, OpenVINO, ONNX Runtime, vendor SDKs for NPUs/MPUs).
• Profile and optimize end-to-end performance: latency, throughput, memory footprint, power, and thermal constraints.
• Implement deployment-oriented model optimizations when needed (quantization workflows, operator compatibility fixes, graph optimizations, runtime-specific conversion).
• Work on Linux-based embedded platforms: cross-compilation, build systems, packaging, and reliable field deployment.
• Debug complex system issues across the stack: kernel/user-space boundaries, driver/I/O bottlenecks, memory contention, and multi-threaded performance.
• Collaborate with model/CV stakeholders to ensure models are edge-ready (I/O specs, accuracy vs. performance tradeoffs, validation on target hardware).
• Establish and uphold engineering standards: code quality, test strategy, CI, performance benchmarks, and observability on-device.

Required qualifications

• 7–8+ years professional experience in embedded software development, with significant time shipping Linux-based products.
• Strong expertise in C++ (modern C++11/14/17); Rust experience is a plus (or willingness to use Rust where it benefits reliability/performance).
• Strong Linux systems knowledge, including at least some of: kernel fundamentals, device I/O, scheduling, memory behavior, and profiling/debugging tooling (e.g., perf, ftrace, eBPF).
• Working knowledge of computer vision and deep learning inference concepts (pipelines, tensors, common CV tasks, latency/accuracy tradeoffs). You do not need to be a model developer/researcher, but must be fluent in deploying and running models.
• Experience optimizing inference for edge hardware (NPUs/MPUs/GPUs/accelerators), including quantization and runtime constraints.
• Master’s degree minimum in a relevant field (Computer Vision, Machine Learning/Deep Learning, Electrical/Computer Engineering, Computer Science, or related).

Preferred qualifications

• Camera stacks and media pipelines (V4L2, GStreamer, ISP integration).
• Embedded build and deployment toolchains (Yocto/Buildroot, CMake/Bazel).
• Hardware-aware optimization experience (ARM, NEON/SIMD).
• Experience with vendor-specific NPU SDKs and quantization toolchains (e.g., Rockchip RKNN, Qualcomm SNPE/QNN, MediaTek, Intel Movidius, etc.).
• OTA, reliability, and embedded security practices (watchdogs, crash dumps, secure boot).

AI coding tools

• Comfortable using modern AI-assisted development tools (e.g., code completion, refactoring, test generation) while maintaining strong engineering judgment, code review discipline, and security awareness.

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable sports analytics products that help athletes understand and improve their performance.

From Major League Baseball pitchers to professional golfers, our products are used globally across all levels of sport. Delivering these products requires strong execution across hardware, software, and real-world environments.

We operate as a globally distributed team, enabled by ownership, clarity, and disciplined execution.

The Role

We are looking for a Senior Operations Manager who will operate across manufacturing, sourcing, and internal systems to ensure reliable product delivery and operational effectiveness.

This is a hands-on role with meaningful scope, designed to grow in responsibility as you build context and demonstrate impact across operations. You will work directly with contract manufacturers, suppliers, and internal teams to ensure that products are built, delivered, and scaled effectively. When issues arise, you step in, connect the dots, and drive resolution.

You will be joining an environment that is scaling — where processes are still being built, improved, and redefined. This is an opportunity to shape how operations evolve through better systems, automation, and practical innovation. It requires comfort operating without a fixed playbook and the ability to drive progress in the face of ambiguity and changing priorities.

You will partner closely with Engineering, Product, Procurement, Finance, and Quality to make decisions, manage trade-offs, and ensure execution continues to move forward, with a clear view of how operational decisions impact product delivery and real-world performance.

What You Will Do

Product & Operational Execution

• Drive end-to-end execution across manufacturing, product delivery, and operational workflows
• Ensure alignment between engineering, supply chain, and production to support product readiness and scale
• Improve hardware reliability through close collaboration with customer support, reducing Annualized Failure Rate (AFR)
• Identify and resolve bottlenecks that impact delivery, quality, or cost

Manufacturing & Production

• Own manufacturing outcomes across output, quality, and delivery performance
• Partner closely with Engineering and NPI teams to transition products from development into stable production
• Translate NPI outputs (design, specifications, process requirements) into scalable and repeatable manufacturing processes
• Improve production processes and First Pass Yield (FPY) with contract manufacturers
• Resolve production issues directly with contract manufacturers to maintain execution momentum
• Manage inbound and outbound logistics, including coordination with 3PL partners for last-mile delivery
• Balance speed, cost, and manufacturability in real-time decision-making

Purchasing & Sourcing

• Provide visibility into sourcing risks that impact production and delivery
• Ensure supplier performance across quality, cost, and delivery
• Support and influence component-level trade-offs (cost, availability, lifecycle, alternatives)
• Align Engineering, Procurement, and Manufacturing priorities under constraints
• Contribute to sourcing strategies during product development and ramp

Systems & Cross-Functional Execution

• Bridge engineering intent with real-world operational constraints
• Identify system-level risks across product, supply chain, and execution early
• Improve reliability, scalability, and cost outcomes through structured and practical decision-making

Operational Discipline

• Establish and improve processes that enable consistent, scalable execution
• Track key operational metrics and act decisively based on insights
• Take ownership of issues end-to-end — from identification to resolution

What We’re Looking For

• 10+ years of experience in operations, manufacturing, engineering, or related roles
• Postgraduate qualification in Engineering is preferred
• Strong experience working in production environments and with contract manufacturers
• Demonstrated ability to operate in a hands-on manner and resolve real operational issues
• Strong systems thinking — able to connect product, supply chain, and execution realities
• Experience working with sourcing, procurement, or supply constraints
• Ability to make decisions under uncertainty and move execution forward

You will own how products are built and delivered, not just observe them. You will influence sourcing and operational decisions that impact real outcomes, while working closely with engineering and leadership to shape how the company executes.

If you are looking for a role where your judgment and execution directly impact real products in the real world, we would like to speak with you.

About Rapsodo

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

About the Role

This is not a typical MBA internship.

You will work directly with the CEO to drive execution across the Rapsodo Device Organization — the team responsible for building Rapsodo’s core products. You will be operating at the center of a global engineering organization, helping ensure priorities are clear, teams are aligned, and critical initiatives move forward without friction.

This role is designed for candidates with an engineering background who want to transition toward technical project or program management, with real exposure to leadership and decision-making.

You will not be observing from the sidelines. You will be expected to contribute to execution from the start.

Strong performance in this role can lead to a full-time Technical Project Manager position within the CEO Office or Rapsodo Device Organization.

What You Will Work On

• Translate priorities into clear, structured execution plans across hardware, firmware, and software teams
• Maintain visibility on progress across critical initiatives and ensure momentum is sustained
• Coordinate across globally distributed teams to align on timelines, dependencies, and deliverables
• Run execution cadences (check-ins, reviews, follow-ups) to drive accountability
• Surface risks, bottlenecks, and misalignment early and help drive resolution
• Provide clear, concise updates to the CEO on progress, issues, and next steps
• Improve visibility and execution through simple, effective tracking and reporting systems
• Apply AI tools to improve visibility, identify patterns and risks early, and enhance the speed and quality of execution

Who Will Thrive in This Role

• An engineering background with a solid understanding of how products are built end-to-end
• Comfort operating across different cultures, time zones, and working styles
• Ability to bring structure to complexity and keep multiple workstreams aligned
• Strong sense of ownership, with consistent follow-through and a focus on closing loops
• Clear and direct communication, particularly when identifying issues or misalignment
• A focus on execution and outcomes rather than analysis alone
• Confidence working closely with leadership and operating in a high-expectation environment
• A mindset that prioritizes early signals over late surprises, with a preference for structured execution over reactive firefighting
• Curiosity about how AI can be applied to improve execution, decision-making, and product outcomes
• A proactive approach to leveraging AI tools to enhance productivity, insight generation, and workflow efficiency

Requirements

• Bachelor’s degree in Engineering (Electrical & Electronics, Mechanical, Computer Engineering or related fields)
• 3-5 years of hands-on engineering experience
• Currently pursuing or recently completed an MBA
• Ability to operate credibly with engineering teams from day one
• Familiarity with AI/ML concepts and practical experience using AI tools to improve analysis, workflows, or execution

About Rapsodo

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and eas-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

About the Role

We are looking for a Software Engineer (C++) who wants to move beyond pure software development and work on real-world systems where code directly interacts with physical devices.

This is not a typical backend or application role.

You will work across the full system stack—from Linux BSP and drivers to middleware and C++ application logic—helping shape how our devices behave in real-world environments.

Your work will directly impact:

• Measurement accuracy
• Real-time system performance
• Reliability of products used by athletes globally

If you enjoy solving problems where software meets hardware, debugging across layers, and building systems that exist beyond code, this role will be a strong fit.

What You Will Do

System Integration & Ownership

• Integrate components across Linux BSP, drivers, middleware, and application layers into a cohesive system
• Ensure compatibility, stability, and performance across the full device software stack
• Identify system-level risks, bottlenecks, and dependencies early in development

Real-Time Performance & Debugging

• Debug complex issues across multiple layers (BSP, drivers, middleware, C++ applications)
• Analyze and optimize multi-threaded systems for low-latency and deterministic performance
• Investigate issues that involve both software behaviour and real-world system conditions.

Cross-Functional Engineering

• Work closely with hardware, firmware, and algorithm teams to ensure system alignment
• Translate product requirements into clear system behaviours and validation criteria
• Contribute to delivering reliable, production-ready features used in real-world environments

Requirements

• Degree in Computer Engineering, Computer Science, or a related field
• Minimum 3 years of experience in a relevant engineering role, with exposure to end-to-end product development
• Strong proficiency in modern C++ and multi-threading
• Experience working close to the system layer (Linux, BSP, drivers, or similar environments)
• Solid understanding of operating systems, systems design, and basic networking concepts
• Familiarity with Python or Bash scripting
• Proven ability to debug complex issues across multiple layers of a system
• Strong ownership mindset with a proactive, problem-solving approach
• Exposure to computer vision or sensor-based systems
• Experience working on embedded, edge, or device-based products
• Self-starting attitude with a strong desire to learn and an action-oriented approach
• Strong teamwork skills and ability to work cross-functionally
• Background or interest in team sports

We build products that exist beyond code, where performance, accuracy, and reliability directly impact real users in real environments. We value ownership over outcomes, systems thinking over siloed execution, and engineers who are curious, hands-on, and committed to continuous improvement. If you are looking to work on tangible products, solve meaningful technical challenges, and see your work come to life in the real world, we would love to hear from you.

Born from a founder’s relentless pursuit to understand performance at a deeper, measurable level, Rapsodo has evolved into a global sports technology company headquartered in Singapore, with teams across the USA, Turkey, Japan, and Malaysia.

We build tightly integrated systems across hardware, computer vision, physics-based modelling, and cloud software to capture and quantify motion that was previously impossible to measure outside the lab. Our products operate in real-world conditions where accuracy, latency, and reliability matter — powering athletes, coaches, and teams worldwide with data they can trust.

At Rapsodo, engineers own problems end-to-end. From edge devices to intelligent software pipelines, we design, build, and scale production systems that bring pro-grade performance analytics onto fields, courts, and training environments everywhere. The work is hands-on, multidisciplinary, and grounded in real physical outcomes — turning complex motion into precise, actionable insight at global scale.

We are looking for a hands-on, versatile Mechanical Engineer who thrives in ambiguity, takes ownership, and enjoys solving complex problems across the full product lifecycle. You will play a key role in bringing new products to life and elevating existing ones, working at the intersection of design, performance and manufacturability.

What you will do

• Design and engineer robust, production-ready products optimized for manufacturability, assembly, and performance.

• Turn ideas into reality - translate customer and market needs into clear engineering specifications and innovative solutions.

• Own the outcome - anticipate risks, make informed trade-offs, and build resilient backup plans to keep projects moving forward.

• Validate what you build - test, iterate and refine designs to meet high standards across functionality, reliability, and compliance.

• Contribute to mantaining and improving system quality across the entire product lifecycle.

• Work closely with cross-functional and global teams to solve real-world challenges

• Participate in design studies (independently and in teams) to solve technical or consumer issues found in the development of a product. 

What we are looking for

• Bachelor's degree in Mechanical Engineering, Industrial Design or related field of study. Relevant master's degree is added advantage. 

• Demonstrated interest and solid portfolio of case parts and/or mechanism design. Preferred experience in consumer electronics type products. 

• An Understanding of injection moulding, die casting and common manufacturing techniques and finishes.  

• A creative and considered approach to problem solving, following clear design processes with pragmatic approach to balance cost and value. 
• Strong aptitude for problem solving and ability to organise and prioritize work
• A resourceful, adaptable, and proactive team player

• Experience to verify performance through empirical testing as well as analytical models. 

Why Join Rapsodo?

We are a global leader in sports vision technology, powered by a team that believes in failing fast, learning faster, and winning as a team. At Rapsodo, you'll thrive in a culture driven by customer focus, achieving more with less, and redefining what's possible. If you are eager to work independently while contributing to a dynamic, innovative, and passionate team, we encourage you to submit your application.

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state of the art solutions as part of Team Rapsodo.

As a Senior Software Engineer (C++), you will design, develop, and integrate high-performance software modules for sports analytics systems, with a focus on low-latency and multithreaded environments. Your role will span the full software development lifecycle—from problem-solving and architecture to deployment and performance tuning. You will work closely with cross-functional teams to deliver seamless, data-driven experiences for athletes and coaches across the globe.

The Role:

We invite experienced C++ Software Engineers to apply as Senior Software Engineers with us. We value proactive problem-solvers with expertise in C++, who take ownership of their work and show dedication to ongoing learning and growth.

Candidates who are adept at solving complex issues, especially those related to low latency or multi-threaded, are highly regarded at Rapsodo.

Responsibilities:

This role would be expected to:

• Be open to new concepts and ideas, demonstrate professional curiosity, and driven to succeed with a strong sense of ownership as a problem solver.
• Possess strong organizational skills, attention to detail, resilience, and adaptability in a dynamic environment
• Collaborate closely with Rapsodo's internal teams to ensure seamless integration of middleware solutions.
• Coordinate and execute middleware integration tasks across various technology platforms to support the development and deployment of sports data analytics solutions.
• Engage with a diverse range of applications and technologies, contributing to the dynamic and challenging nature of the role.
• Provide Tier IV and higher support for any outstanding technical issues.

Requirements:

• Bachelor’s Degree in Computer Engineering or Computer Science-related discipline
• At least 7 years of work experience in a relevant role, with demonstrated prior experience in leading engineers in delivery end-to-end product development projects
• Demonstrate expertise in modern C++ and multithreading concepts, along with fundamental knowledge of Linux and Python / Bash scripting.
• Basic understanding of computer vision principles and solid fundamental knowledge of OS / systems / networking.
• Strong problem-solving skills with the ability to troubleshoot the most challenging technical issues effectively.
• Demonstrate a self-starting attitude with a strong desire to learn and an action-oriented approach
• Excellent teamwork skills and the ability to work cross-functionally.
• A background in Team Sports will be an added advantage!

We are a global leader in sports vision technology, powered by a team that thrives on curiosity, ownership, and continuous improvement. At Rapsodo, we embrace bold ideas, challenge limits, and celebrate collaboration. If you’re passionate about engineering solutions that drive real-world performance and want to be part of a dynamic, high-impact team, we’d love to hear from you.

Description

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable, and easy to use to empower athletes at all skill levels to analyze and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for very driven team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

As an MBA Intern at Rapsodo, you will contribute to strategic decision-making by providing comprehensive market research, conducting thorough analysis, and identifying potential business opportunities. Working closely with the CEO and CFO, you will assist in developing presentations, formulating business plans, and executing key projects. This internship is designed to challenge and enhance your business acumen, analytical skills, and leadership abilities, providing you with a solid foundation for a successful career in the sports analytics industry.

Responsibilities

• Market Research: Conduct extensive market research and analysis to identify emerging trends, evaluate competitors, understand customer preferences, and uncover potential target markets. Utilize a wide range of sources, including industry reports, databases, and primary research, to gather and synthesize relevant information.
• Business Analysis: Analyze financial data, operational metrics, and key performance indicators (KPIs) to assess Rapsodo's performance and identify areas for improvement. Develop actionable insights and recommendations to support strategic decision-making.
• Project Management: Support the CEO and CFO in managing and executing strategic projects by conducting thorough research, gathering data, and creating well-defined project plans. Collaborate with cross-functional teams to ensure project milestones and objectives are met.
• Business Development: Explore and evaluate potential business opportunities, strategic partnerships, and untapped markets. Conduct comprehensive feasibility studies and prepare persuasive business cases to support investment decisions and growth initiatives.
• Presentation and Reporting: Prepare and deliver professional, concise, and visually engaging presentations to senior management, stakeholders, and potential partners. Summarize complex data and analysis into clear, actionable insights and recommendations.
• Business Planning: Assist in the development of robust business plans, financial models, and forecasts. Conduct scenario analysis and sensitivity testing to evaluate the impact of various factors on business performance.
• Stay abreast of industry trends, market dynamics, and best practices in sports analytics and business analysis.

Requirements

• Education: Currently pursuing or recently completed an MBA degree from a reputable university or business school.
• Analytical Skills: Exceptional analytical mindset with the ability to interpret complex data, perform rigorous financial analysis, and generate valuable insights.
• Strategic Thinking: Demonstrated ability to think strategically and provide valuable input to business decisions. Strong understanding of market dynamics, competitive landscape, and industry trends in the sports analytics domain.
• Communication Skills: Excellent written and verbal communication skills, including the ability to create compelling presentations and reports. Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
• Project Management: Proven ability to manage multiple projects simultaneously, prioritize tasks, and deliver results within established deadlines. Meticulous attention to detail with strong organizational and time management skills.
• Business Acumen: Solid understanding of business principles, financial concepts, and the ability to translate analysis into actionable strategies aligned with organizational goals.
• Proficiency in Technology: Advanced proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) and experience with data analysis tools or programming languages is highly desirable.