Total 19 job vacancies by Second Talent Sg Pte. Ltd.

Responsibilities:

• Handle full spectrum of monthly payroll processing accurately and on time
• Maintain payroll records, employee data, claims, deductions and statutory contributions
• Ensure compliance with CPF, IRAS, MOM and internal payroll policies
• Support payroll reporting, audit checks and documentation
• Liaise with employees and internal stakeholders on payroll-related matters
• Assist with HR/admin matters when required

Requirements:

• Qualifications from a tertiary institution in Finance, Accounting, HR or related field
• Minimum 2 years of payroll experience
• Experience using Sage EasyPay preferred
• Meticulous, organised and able to meet deadlines
• High integrity and confidentiality in handling payroll information
• Able to work independently and as part of a team
• Positive working attitude and strong sense of responsibility

Job Overview:

We are seeking a skilled and experienced Band-Saw Operator to join our team. The ideal candidate should have experience operating a band-saw and working in a food processing environment.

Key Responsibilities:

• Usage of band-saw machine to cut frozen meat.
• Cleaning and maintenance of working tools / equipment to maintain a sanitary work environment.
• Follow the instructions of the supervisor to participate in daily production operations.
• Assist in production line by preparing raw materials into ready ingredients.
• Assist in sorting and packaging of processed food.
• Generate product labelling ensuring accuracy.
• Observe and maintain safety levels with particular attention to machinery and electrical equipment.
• Follow standard working methods, quality procedure, process and safety guidelines.
• Perform other ad hoc duties instructed by immediate superior

Requirements:

• WSQ Certification in Food Safety and Hygiene.
• Prior Working Experience in a Food-Related Industry.
• 1 Year Prior Working Experience with a Band-Saw.
• Familiar with food handling and handling process.
• Must be physically fit and strong as the job requires carrying of stocks and long hour standing environment.
• Able to work in a fast-paced environment.
• Able to work independently if required with minimal supervision.
• Willing to work in Tuas area.

As an AI Application Full-Stack Developer, you will develop modern web applications integrated with AI agents and cloud-native services. You will work across the entire stack—from frontend UI to backend APIs and databases—while collaborating closely with product, cloud, and AI engineering teams. This is a hands-on engineering role focused on delivering high-quality AI-powered applications.

Key Responsibilities

Full-Stack Development

• Build responsive, high-quality frontend applications using React / Next.js /TypeScript.
• Develop backend APIs and services using Python (FastAPI/Flask).
• Implement authentication, authorization, data models, and API integrations.
• Work with relational and NoSQL databases.

AI Integration

• Integrate applications with AI models, vector databases, and agent frameworks.
• Implement workflows involving RAG, embeddings, conversational agents, or automation logic.
• Work with cloud AI services (Google Cloud, AWS, Azure, or Vertex/Bedrock).

System Implementation & Delivery

• Translate requirements into technical tasks and features.
• Ensure code is maintainable, well-structured, and well-tested.
• Collaborate with UI/UX, AI engineers, and cloud engineers to ship features efficiently.
• Participate in sprint discussions, reviews, and continuous improvement.

Performance, Quality & Security

• Apply best practices for security, scalability, performance, and reliability.
• Implement logging, monitoring, and API performance optimisations.
• Follow secure coding patterns and cloud-native development standards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related engineering field.
• 7+ years of professional full-stack development experience.
• Strong proficiency in: Javascript/TypeScript, React, and Next.js, Python (FastAPI or Flask) or any other backend programming language
• Solid understanding of:
  REST API design
  Modern application architecture
  Databases (PostgreSQL, MySQL, MongoDB, etc.)
  Experience integrating with cloud services (GCP, AWS, or Azure).
  Familiarity with consuming AI APIs or building AI-powered features.
  Strong problem-solving skills and ability to work independently.

Preferred Qualifications (Nice-to-Haves)

• Experience working with RAG pipelines, vector DBs, or generative AI applications.
• Familiarity with WebSockets, WebRTC, or real-time communication.
• Basic understanding of CI/CD pipelines and DevOps fundamentals.
• Experience with multi-tenant SaaS or enterprise-grade applications.

The Solution Engineer is the architect of customer success, translating business needs into technical solutions that drive outcomes. You will work closely with customers, sales teams, and engineering to design scalable, customer-centric solutions that align with both technical capabilities and business objectives. Your role bridges the gap between customer requirements and technical delivery.

As a Solution Engineer, you will be required to:

• Solution Architecture: Design solutions that address customer business needs while leveraging company capabilities and best practices
• Technical Feasibility Assessment: Evaluate customer requirements, identify technical constraints, and propose viable alternatives
• Proof of Concept (PoC) Development: Own PoC initiatives to validate solution approaches and facilitate decision-making across various levels of stakeholders
• Requirements Translation: Work with customers to understand business objectives and translate them into technical specifications
• Product Feedback: Gather customer insights and provide feedback to the Product team on enhancements and new capabilities
• Partner Enablement: Support partner teams with technical presentations, demos, handle technical enquiries
• Customer Enablement: Develop solution documentation, training materials, and implementation guides
• Roadmap Alignment: Ensure customer solutions align with product roadmap and internal strategic initiatives
• Cross-Functional Collaboration: Partner with Product, Engineering, and Customer Success teams to ensure successful delivery

As a Solution Engineer, you bring to the team:

• Passion for automation, standardization and best practices.
• Be able to write clean, maintainable, and efficient code
• Solid hands-on experience in designing, building, deploying and securing of highly available web application in cloud platform such as AWS, Microsoft Azure or Google Cloud Platform.
• Experience with DevOps tools such Azure DevOps or Gitlab
• Experience in building (manual or AI-assisted) with Node.js, Python, or Go
• Understanding of network components such as load balancers, firewalls, VPNs, and DNS.
• Good understanding of DevOps principles and practices, knowledge in DevSecOps will be an added advantage.

Competencies

• Technical expertise and continuous learning
• Customer empathy and business acumen
• Communication and presentation skills
• Problem-solving and analytical thinking
• Collaboration and teamwork
• Attention to detail and quality focus

Preferred qualifications

• Experience with managing cloud infrastructure and services on AWS, Microsoft Azure, or Google Cloud Platform• Degree in Computer Science, Computer or Electronics Engineering, Information Technology or related disciplines.
• Ability to translate complex technical concepts for non-technical audiences
• Experience with enterprise customer environments

The Senior Solutions Engineer is the technical anchor of the Solutions Engineering team, combining deep hands-on expertise with a leadership mandate. You provide mentorship and guidance to Solutions Engineers, help standardize solution delivery practices, and serve as the decision-making authority for technical matters when the Engineering Manager is unavailable. You operate with a high degree of autonomy while remaining aligned with engineering leadership on strategic priorities.

Key Responsibilities

• Team Guidance & Mentorship: Coach and support Solutions Engineers on complex customer engagements, technical approaches, and professional development
• Delegated Decision-Making: Exercise independent judgment on technical decisions, customer escalations, and prioritization in the absence of the Engineering Manager, within agreed scope and boundaries
• Solution Architecture: Lead and review solution designs for high-complexity or high-impact customer engagements, setting the technical bar for the team
• Standards & Playbooks: Define and maintain solution engineering standards, reusable templates, and best practice documentation for the broader team
• Escalation Handling: Act as the primary escalation point for Solutions Engineers facing technical blockers or ambiguous customer requirements
• Cross-Functional Liaison: Represent the Solutions Engineering team in cross-functional discussions with Product, Customer Success, and Field CTO/SMEs when the Engineering Manager is unavailable
• Quality Review: Review and approve solution proposals, PoC outcomes, and technical specifications produced by Solutions Engineers
• Onboarding: Lead the technical onboarding of new Solutions Engineers, ensuring ramp-up on tools, processes, and customer environments
• Feedback Loop: Consolidate field insights from the team and surface patterns, gaps, and improvement opportunities to the Engineering Manager and Product

Required Qualifications

• 4-8 years of solution engineering, systems engineering, or technical consulting experience
• Excellent communication and presentation skills
• Ability to translate complex technical concepts for non-technical audiences
• Experience with enterprise customer environments
• Project management and organizational skills
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Preferred Qualifications

• Cloud platform certifications (AWS, Azure, GCP)
• Experience with enterprise architecture and design patterns
• Familiarity with agile methodologies
• Track record of successful customer implementations
• Experience with technical sales or pre-sales engineering Understanding of customer business models and industry challenges

Competencies

• Technical expertise and continuous learning
• Customer empathy and business acumen
• Communication and presentation skills
• Problem-solving and analytical thinking
• Collaboration and teamwork
• Attention to detail and

We are representing a client—an innovative, fast-growing company in the robotics and AI space. The company is building an open-source humanoid robotics platform and is committed to democratizing access to advanced robotics by openly sharing hardware designs, firmware, and machine learning models with the global developer community.

The Role

We're looking for a Growth hire to join our team and help accelerate how the firm shows up in the market. You'll work across pipeline, content, social, and partnerships, contributing wherever the biggest opportunities are. This is a generalist role at a deep tech company, so you'll need to be comfortable moving between a LinkedIn post and a pricing conversation in the same afternoon. You'll work closely with the chief business officer, engineering, and product to translate highly technical capabilities into messaging that resonates with buyers.

What You'll Do

• Contribute to pipeline generation across outbound, inbound, content, and partnerships, with a clear eye on what moves the number.
• Help run and grow our social presence with a voice that reflects the quality and ambition of the technical work we're doing.
• Support and execute on content that positions the firm credibly in the robotics and AI infrastructure space.
• Work hands-on with the sales cycle from first contact through close, including demos, proposals, and commercial negotiations.
• Identify, qualify, and develop partnerships with system integrators, distributors, and enterprise buyers across Southeast Asia and beyond.
• Track and report on funnel performance, iterating fast on what works.
• Act as the bridge between technical depth and customer clarity, turning complex capabilities into crisp value propositions.

What We're Looking For

• Proven track record selling SaaS, with direct experience owning deals from prospecting through close. Not a plus. A must.
• Hands-on social media experience, with demonstrated ability to build audience and drive engagement on platforms like LinkedIn. You've grown accounts, not just managed them.
• Technically curious and able to get up to speed on a complex product quickly. You don't need to write code, but you need to understand what you're selling.
• Strong written and verbal communication. You can write a sharp cold email, a compelling post, and a clear one-pager without needing three rounds of edits.
• Comfortable with ambiguity and a fast-moving environment.
• Experience in deep tech, robotics, AI infrastructure, or developer tooling is a strong advantage.

Overview
A growing engineering-focused organisation is seeking a hands-on Senior Mechanical Engineer / Engineering Lead to drive HVAC system design, optimisation, and project delivery. This role is ideal for someone who enjoys working in a fast-paced, high-impact environment with opportunities to take ownership of both technical execution and team development.

Key Requirements

• Bachelor’s degree in Mechanical Engineering or a related discipline
• Minimum 8 years of relevant experience in HVAC, building services, energy systems, or facility engineering
• Strong technical knowledge of HVAC systems, including chillers, chilled water / condenser water systems, air handling units, pumps, and cooling plants
• Proven experience in HVAC retrofit projects, system upgrades, or end-to-end engineering project execution
• Experience in analysing system performance, troubleshooting operational issues, and driving energy efficiency improvements
• Exposure to mission-critical facilities (e.g. large commercial buildings, advanced manufacturing, healthcare environments) is preferred; data centre experience is an advantage
• Familiarity with building systems, BMS, or control logic (e.g. PLC, DDC)
• Experience in an ESCO (Energy Service Company) environment is a strong advantage
• Exposure to AI concepts or experience working with AI-enabled tools/systems is a plus
• Licensed Mechanical Engineer / Professional Engineer certification is an advantage
• Strong analytical and problem-solving capabilities with a practical, hands-on engineering mindset
• Ability to work cross-functionally with multidisciplinary teams

The Role

The RPU Team owns the real-time compute fabric that sits between intelligence and motion. As a Senior RPU / Firmware Engineer, you will architect and implement the low-level software that drives Asimov's actuators, sensors, and onboard processors. This is a 0-to-1 role: there is no existing stack to inherit. You will make foundational architecture decisions, define the OS-level environment, and build from the ground up. You will work at the boundary of hardware and software, where microseconds matter and correctness is non-negotiable.

What You'll Do

• Architect and build the firmware stack for the humanoid robot from scratch, including OS selection, toolchain setup, and board support package development
• Design and implement firmware for real-time processing units across thehumanoid robot's hardware platform
• Build and maintain embedded Linux environments for onboard compute, including BSP bring-up, device tree configuration, kernel driver development, and userspace/kernel interfaces
• Develop and maintain low-level drivers for actuators, sensors, IMUs, and communication buses (CAN, EtherCAT, SPI, I2C, UART)
• Architect real-time control loops with strict latency and determinism requirements
• Collaborate with mechanical, electrical, and controls engineers to co-design hardware and firmware interfaces
• Build tooling for firmware flashing, diagnostics, and in-field debugging
• Define and enforce firmware architecture standards, code quality practices, and review processes across the team
• Contribute to hardware bring-up for new revisions of the humanoid robot, from schematic review through validation

What We're Looking For

• 5+ years of firmware or embedded systems engineering experience in production hardware
• Strong proficiency in C/C++
• Deep hands-on experience with embedded Linux: BSP development, device tree authoring, kernel driver development, and managing the userspace/kernel boundary
• Proven experience taking a firmware stack from 0 to 1: OS selection, toolchain bootstrapping, first bring-up on new silicon, and building the foundations others build on
• Strong OS-level fundamentals: memory management, scheduling, interrupt handling, IPC, and power management in constrained embedded environments
• Deep familiarity with real-time communication protocols: CAN, EtherCAT, SPI, I2C, UART
• Experience with microcontroller and DSP architectures (STM32, TI C2000, NXP, or similar)
• Hands-on hardware bring-up experience: reading schematics, using oscilloscopes and logic analyzers, debugging signal integrity issues
• Strong understanding of real-time systems, interrupt-driven design, and deterministic execution
• Ability to own and drive complex cross-functional firmware work from spec to deployment

Bonus points for:

• Experience with camera integration in embedded Linux environments, including MIPI CSI interfaces, serialized camera streams, and V4L2 driver development
• Deep familiarity with embedded OS architecture: bootloader design (U-Boot or equivalent), secure boot chains, partition management, and OTA update mechanisms
• Experience with secure elements and hardware security modules: key storage, trusted execution environments (ARM TrustZone, OP-TEE), and secure enclave integration for credential and key management
• Experience in legged robotics, humanoids, or high-DOF manipulation platforms

A global provider of AI data and platform solutions, supporting enterprise AI development through services such as text/audio labelling, image/video annotation, and LLM customization. The company combines scalable technology with managed services to deliver high-quality datasets for enterprise customers.

We are looking for a results-driven Sales / Business Development professional to grow enterprise partnerships for AI data services (e.g. data annotation, data collection, content moderation).

Key Responsibilities

• Identify client business needs for AI data services and build commercial relationships
• Prospect, qualify, and manage inbound/outbound leads; build a strong, predictable pipeline to achieve revenue targets
• Run consultative sales cycles, translating technical requirements into commercial proposals (e.g. LLM projects, data platforms, managed annotation services)
• Collaborate with Solutions, Customer Success, Product, and Legal teams to develop scalable offerings and pricing strategies
• Work closely with delivery teams to ensure smooth project execution
• Participate in industry events, client workshops, and gather market/competitor intelligence

Requirements

• Experience in B2B sales within AI/data services across APAC or a specific regional market
• Track record of selling complex data or AI solutions to large enterprises
• Strong regional network and experience closing large, multi-million-dollar deals
• Ability to structure long-term commercial partnerships
• Strong communication skills in English (additional APAC languages are a plus)
• Willingness to travel across the region

Nice to Have

• Experience selling data annotation, ML training data, or LLM-related services
• Exposure to procurement processes within large enterprises, hyperscalers, or telcos

We are representing a client—an innovative, fast-growing company in the robotics and AI space. The company is building an open-source humanoid robotics platform and is committed to democratizing access to advanced robotics by openly sharing hardware designs, firmware, and machine learning models with the global developer community

The Role

We are looking for a Platform Lead to own and evolve the full infrastructure stack that powers both our humanoid robotics fleet and our developer facing AI platform. This is a senior technical leadership role sitting at the intersection of distributed systems, high performance APIs, and production AI infrastructure. You will work directly with the founders and technical leadership to design systems that let hundreds of robots learn and act as one, while also enabling developers and partners to build on top of the firm's intelligent platform. If you thrive on hard technical problems at massive scale and want genuine ownership over platform architecture, this role is for you.

What You'll Do

• Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time.
• Design and build the firm's API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs.
• Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations.
• Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio.
• Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling.
• Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms.
• Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security.
• Collaborate across ML, robotics, and product teams to support hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows.
• Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.

What You'll Bring

• 7 or more years of professional software engineering experience with deep expertise in distributed systems, backend infrastructure, or data platforms.
• Proven ability to build and operate production grade systems handling massive scale and mission critical workloads.
• Proficiency in Go, Rust, C++, Python, or TypeScript, with strong fundamentals in concurrency, networking, and systems performance.
• Deep experience with cloud native architectures including Kubernetes, Docker, Helm, gRPC, Kafka, Ray, and service mesh technologies such as Istio or Linkerd.
• Strong understanding of API architecture and design patterns including REST, gRPC, WebSockets, OAuth2, and OpenAPI.
• Experience with databases spanning PostgreSQL, Redis, and modern vector databases such as Pinecone, Weaviate, or FAISS.
• Strong understanding of data consistency, replication, and fault tolerance across heterogeneous environments.
• Familiarity with observability tooling such as Prometheus, Grafana, Datadog, or OpenTelemetry applied to large scale production systems.

Bonus Points

• Experience building distributed training, large scale simulation, or fleet scale telemetry systems.
• Familiarity with real time robotics workloads including streaming from physical sensors and actuators.
• Experience with MLOps tools and AI workflows including model versioning, inference pipelines, and model registries.
• Knowledge of billing systems, quota enforcement, chargeback models, and multi tenant security and isolation.
• Prior experience on developer platforms or API products with a strong focus on developer UX and documentation.
• Contributions to open source infrastructure, AI frameworks, or robotics middleware such as ROS, gRPC, or Mediasoup.

Responsibility

• Drive product outcomes by delivering actionable insights.
• Conduct market analyses to identify problem space and opportunity size.
• Evaluate existing solutions to identify unique opportunities or areas of synergies.
• Conduct user interviews and gather insights to inform formulation of problem statement.
• Define key success factors, identify relevant metrics, and build dashboards to track metrics.
• Analyse results post- release to identify areas of improvement.
• Analyse impact of requested changes, assess reasonableness of resource requirements

Requirements

• 3-4 years of relevant BA experience
• Proven record of collecting and synthesizing data to derive actionable insights.
• Excellent written and verbal communication skills to pitch ideas and influence stakeholders.
• End to end experience working with product team to build products.
• Ability to work effectively and independently under pressure and prioritize effectively to meet tight deadlines.
• Computer science, product management related degrees or diplomas are a plus

We are representing a client—an innovative, fast-growing company in the robotics and AI space. The company is building an open-source humanoid robotics platform and is committed to democratizing access to advanced robotics by openly sharing hardware designs, firmware, and machine learning models with the global developer community.

The Role

As a Mechatronics Engineer, you will own the design, integration, and validation of the systems that make the humanoid project move and respond to the world. This role sits at the intersection of mechanical design, electrical integration, and embedded control, requiring you to think across all three simultaneously. You will take components from concept through to production-ready hardware, ensuring that every design decision holds up mechanically, integrates cleanly with electronics and firmware, and performs reliably in the field.

What You'll Do

• Design and develop mechanical and electromechanical assemblies across the full humanoid body, including joints, actuators, sensor mounts, and structural members
• Integrate electrical systems, wiring harnesses, PCBA enclosures, and motor controllers into mechanical designs from the ground up
• Develop detailed 3D part and assembly models across plastics, sheet metal, die cast, and composite materials in CATIA or equivalent CAD tools
• Perform tolerance studies, FEA, and kinematic simulations to validate stiffness, strength, and lifetime requirements
• Create production drawings with GD&T annotations and inspection call-outs for manufacturing and QA handoff
• Conduct DFM reviews with contract manufacturers and tooling partners, refining designs for cost, cycle time, and quality
• Hardware Architecture: Create and critique schematics and PCB layouts for power distribution units, motor driver boards, and actuator control electronics.
• Prototype & Debug: Lead bring-up of power systems, sensors, and actuator subassemblies; diagnose and resolve issues across multiple hardware revisions.
• Define and run mechanical and system-level test protocols, analyze failure modes, and iterate based on test data
• Work closely with firmware and controls teams to ensure mechanical and electrical design choices support stable, low-latency control loops
• Contribute to the firm's open-source design efforts, including CAD releases, PCB schematics, manufacturing documentation, and build guides for the broader robotics community

What You'll Bring

• 3 or more years of hands-on mechatronics experience on high-complexity electromechanical products
• Strong proficiency in CAD, ideally CATIA V5/V6, across both detailed parts and multibody assemblies
• Solid understanding of electrical and electronic systems, including motor drivers, sensors, and embedded hardware integration
• Proven track record with plastic injection molding, sheet metal fabrication, and die casting processes
• Experience with GD&T and producing 2D engineering drawings for manufacturing and QA
• Ability to run FEA simulations and interpret results to inform design decisions
• Comfortable working within aggressive cost and weight constraints without sacrificing reliability
• Strong communication skills to drive alignment across suppliers, cross-disciplinary engineers, and leadership
• Lab Instrumentation: Proficiency using oscilloscopes, logic analyzers, and CAN/UART sniffers (e.g., CANalyzer, Saleae) for in-depth hardware debug.
• Robustness & Grounding: Expertise in connector selection, grounding strategies, harness routing, and EMI suppression techniques.
• Power Electronics: Deep familiarity with low-voltage (<60 V) DC power systems, DC–DC converters, MOSFET gate drivers, current‐sense amplifiers, and passive network design.

Bonus points for:

• Experience with bipedal or humanoid robot hardware, legged locomotion platforms, or high DOF manipulators
• Familiarity with CAN bus, motor controllers, and how mechanical and electrical design choices affect firmware and control integration
• Knowledge of plastics engineering including material selection, shrinkage factors, and mechanical property optimization
• Familiarity with parallel mechanisms and non-standard joint configurations such as RSU ankle designs or parallel actuation
• Scripting or automation experience in Python to streamline CAD workflows and data analysis
• Familiarity with MATLAB for system-level modeling and tolerance stack-ups
• Familiarity with sim-to-real workflows and how hardware decisions affect locomotion policy training and transfer
• Prior involvement in robotics or wearable systems where mechanical tolerances and ergonomics are critical

We are representing a client—an innovative, fast-growing company in the robotics and AI space. The company is building an open-source humanoid robotics platform and is committed to democratizing access to advanced robotics by openly sharing hardware designs, firmware, and machine learning models with the global developer community.

The Role

As an Infrastructure Engineer, you will own and evolve the platform that everything the firm runs on, from inference serving to training rigs to the agentic coding infrastructure that powers day-to-day engineering. You will work deep in the stack, across OpenStack, Kubernetes, and bare metal, and set the technical direction for how the company's Cloud scales.

What You'll Do

• Own and operate the company's Cloud: OpenStack Nova compute, Neutron networking, Trove database services, across Prod, Dev, and Sysadmin clusters
• Manage Kubernetes clusters via Cluster API and kubeadm, including control plane operations, node lifecycle, and cluster upgrades
• Manage and improve our inference platform: vLLM serving, AIBrix for multi-model orchestration and autoscaling across a fleet of NVIDIA GPUs
• Build and maintain autoscaling at every layer: Cluster Autoscaler, HPA, and KEDA for event-driven workload scaling
• Operate platform services: Kafka, Redis, PostgreSQL, OpenSearch, Prometheus
• Own the observability stack: Grafana, Mimir, Tempo, Loki, Pyroscope, OnCall, one pane of glass across all clusters
• Manage GitOps deployments via ArgoCD and identity via Keycloak integrated with Google Workspace
• Harden network security across private load balancers, firewalls, and VPC segmentation
• Support training infrastructure: self-service VM provisioning, RunPod burst capacity, Weights and Biases integration
• Drive infrastructure reliability, cost efficiency, and capacity planning as the platform scales
  

What We're Looking For

• 5+ years of hands-on infrastructure engineering experience in production environments
• Extensive experience with OpenStack in production: Nova, Neutron, Cinder, Trove, Horizon, and CLI administration
• Strong Kubernetes experience without managed control planes: Cluster API, kubeadm, self-managed clusters
• Deep Linux proficiency: RHEL, Ubuntu, or equivalent, including kernel-level debugging and performance tuning
• Experience with infrastructure-as-code and automation: Ansible, Terraform, or equivalent
• Familiarity with GPU infrastructure: inference serving, vLLM, model orchestration, and cluster management
• Solid understanding of GitOps workflows and tools like ArgoCD
• Experience with observability: Prometheus, Grafana, distributed tracing, log aggregation
• Strong networking fundamentals: VPCs, firewalls, load balancers, private cluster architecture
• Comfort operating in a high-ownership environment where you make architecture decisions and move fast

Bonus points for:

• Experience with KVM virtualization and storage backends like Ceph
• Familiarity with vLLM internals: PagedAttention, continuous batching, tensor parallelism
• Experience with KEDA or event-driven autoscaling patterns
• Background in AI/ML infrastructure or GPU cluster operations at scale
• Prior open-source contributions to OpenStack, Kubernetes, or adjacent projects

We are representing a client—an innovative, fast-growing company in the robotics and AI space. The company is building an open-source humanoid robotics platform and is committed to democratizing access to advanced robotics by openly sharing hardware designs, firmware, and machine learning models with the global developer community.

The Role

As a Locomotion Engineer, you will own the policies and pipelines that drive bipedal locomotion on the humanoid project, from training in sim through deployment on hardware. We are looking for someone who has taken locomotion from algorithm to running robot -- someone who understands the hardware deeply enough to know what to optimize for and why. This is a lead-level role with end-to-end ownership across the stack.

What You'll Do

• Design and train RL locomotion policies for bipedal walking, lateral movement, push recovery, and dynamic motion
• Develop and maintain MuJoCo-based simulation environments with custom actuator models that faithfully reproduce hardware IO timing, CAN bus delays, and motor saturation characteristics
• Own the domain randomization strategy: model the specific sources of sim-real mismatch and randomize what is genuinely uncertain, not everything
• Run processor-in-the-loop validation, including real firmware against simulated robots over virtual CAN, before any policy touches hardware
• Deploy and tune locomotion controllers on the humanoid project, iterating rapidly across sim and physical platforms
• Work with Data Engine telemetry to refine domain randomization and close identified sim-real gaps
• Collaborate with firmware, mechanical, and perception teams on cross-stack issues affecting locomotion performance
• Contribute to open-source releases of locomotion models, training code, and simulation assets

What We're Looking For

• 5+ years of experience in locomotion, legged robotics, or related controls and learning fields
• Proven track record deploying locomotion on physical humanoid or legged robots in a production or near-production setting -- you have shipped policies that run on real hardware, not just in simulation
• Strong proficiency in Python and C++
• Deep understanding of reinforcement learning and sim-to-real transfer for humanoid locomotion, including policy architecture choices and training dynamics that hold up on real hardware
• Experience with trajectory optimization, MPC, or hybrid control approaches alongside learned policies
• Deep understanding of rigid body dynamics, contact mechanics, and whole-body control
• Hands-on experience debugging sim-to-real gaps on physical platforms -- you know what breaks and why
• Familiarity with actuator behavior, motor dynamics, and low-level control integration at the hardware level
• Familiarity with state estimation, sensor fusion, and motion capture for locomotion
• Strong experimental intuition and ability to drive complex cross-functional work from research through deployment

Bonus points for:

• Research background in legged robotics, RL for control, or related areas -- publications or preprints welcome
• Contributions to open-source robotics or locomotion research
• Experience with processor-in-the-loop or hardware-in-the-loop validation workflows

About Our Client
Our client is a digital innovation unit within a major public sector organisation. They leverage agile methodologies and modern technologies to design and scale digital solutions that improve operational efficiency and capabilities.

They are seeking an experienced UI/UX Designer who can deliver end-to-end product design, blending strong visual skills with deep product thinking. They value collaborative individuals who can clearly articulate their design decisions and contribute to impactful product experiences.

About the Design Team
The design team strives to create meaningful product experiences by leading with user insights and design excellence—ensuring products are trusted, impactful, and valued across the organisation.

Responsibilities

• Lead End-to-End Design: Own the full design process from discovery to implementation, balancing user needs and business goals.
• User Research & Strategy: Conduct qualitative and quantitative research, synthesise insights, and translate them into impactful solutions.
• Visual Design: Create wireframes, interactive prototypes, and high-fidelity mockups to communicate concepts clearly. Maintain and contribute to the design system for cross-product consistency.
• Cross-functional Collaboration: Partner with Product Managers and Engineers to prioritise features, distinguishing between must-haves and good-to-haves within an agile framework.
• Metrics & Iteration: Define and track key UX metrics to measure the effectiveness of design solutions and guide improvements.

Requirements

• 4+ years of experience in end-to-end product design, delivering scalable and high-impact digital solutions.
• Strong communication skills with the ability to articulate complex design decisions and influence stakeholders.
• Ability to contribute to product and design strategy, shaping both the “what” and the “why.”
• Proven expertise in user research methodologies (qualitative and quantitative) and data-driven decision making.
• Exceptional visual design skills with the ability to maintain visual consistency across products.