Total 8 job vacancies by Rapsodo

About Rapsodo

Rapsodo’s graduate program is part of the Singapore Global Executive Program (SGEP), in partnership with Enterprise Singapore.

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, we innovate, push boundaries, and grow fast – holding ourselves accountable to outcomes, not just effort. We are looking for early-career talents who are curious, thrive on challenges, take ownership of their work and are motivated to continuously raise the bar. This program is designed for individuals who want real exposure, real responsibility and the opportunity to learn how sports technology products are built, scaled, and brought to market end-to-end.

What you can Expect:

• On the job learning through rotations or project-based exposure across functions/teams in Rapsodo
• Opportunities for overseas or cross-location exposure, working with globally distributed teams
• 1-1 mentorship and access to senior leaders
• Learning/ Leadership development opportunities
• A fast-paced, entrepreneurial environment that values initiative, ownership and learning agility.

About the Role

As a Hardware Engineer (SGEP Talent), you will join Rapsodo’s Device team and contribute to the design, development, and validation of sports technology products used by athletes worldwide.

This role offers hands-on exposure across the hardware development lifecycle, from early concept and prototyping through testing, iteration, and production. You will work closely with cross-functional teams including firmware, embedded systems, algorithms, product, and manufacturing, gaining a holistic understanding of how hardware integrates into complete product systems.

What You Will Do

• Own defined hardware tasks or sub-systems, from initial design through testing and iteration
• Proactively investigate design challenges, identify root causes, and propose practical solutions
• Contribute to schematic design, PCB layout, prototyping, and validation activities across products
• Drive hardware bring-up, debugging, and testing, using lab equipment to validate performance
• Work closely with firmware, embedded, and software teams to ensure seamless system integration
• Support component selection, lifecycle evaluation, and design revisions
• Take responsibility for clear documentation, test results and engineering decisions. 

• A recent graduate or early career professional, with less than 3 years of working experience
• Bachelor’s degree in Electrical & Electronics Engineering, Computer Engineering, or a related field
• Comfortable working hands-on with hardware, prototypes and test equipment
• Naturally proactive – you seek clarity, ask questions, and take initiative rather than wait for direction
• Able to manage your own work, follow through on commitments, and communicate progress early
• Curious, resilient and motivated to learn across technical and non-technical domains
• Familiarity with oscilloscopes, multimeters or similar tools is a huge plus
• Interest in sports, sports technology or data-driven products

Other Requirements

• This program is open to Singaporean and Permanent Residences in active undergraduate and graduate university programs with less than 3 years of work experience
• Graduates should be able to start work from July 2026 onwards.

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.

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.

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