Lead AI Native Engineer

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Head of People to build the organization behind that mission. You will lead the function through its next stage—preparing the company to scale rapidly, raising the bar for talent and leadership, building an exceptional global organization, and making AI-native ways of working the default across the company. Responsibilities Lead and scale the People organization. Set direction, develop the team, and raise execution quality across Recruiting, People Operations, and HRBP—preparing RoboForce for rapid growth. Build a world-class talent engine. Strengthen workforce planning, sourcing, assessment, candidate experience, executive recruiting, and closing across technical and leadership roles. Design the organization for scale. Partner with the leadership team on organization structure, leadership roles, succession, decision rights, spans of control, and critical talent decisions. Raise the management and performance bar. Build practical systems for goals, feedback, development, promotions, accountability, and leadership effectiveness. Strengthen the People foundation. Scale HRIS, payroll, benefits, immigration, onboarding, policies, compliance, employee relations, and People analytics. Own compensation and rewards. Partner with leadership on leveling, salary bands, equity, benefits, promotion standards, and compensation reviews. Build a high-performance, inclusive culture. Embed company values into how we hire, communicate, lead, recognize performance, and resolve problems—while expanding beyond existing networks to attract exceptional talent from diverse backgrounds globally. Lead AI-native organizational transformation. Partner with the leadership and functional leaders to redesign roles, workflo

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Lead AI Research Engineer, Embodied Systems to lead and own the engineering of the systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full embodied systems stack — the onboard AI system, the data collection system, the teleoperation systems, and the on-robot reinforcement learning system — driving the direction hands-on and closing the loop between data, models, and action in the physical world. Responsibilities Lead and own, from the engineering side, the embodied systems that power RoboForce's data flywheel — the onboard AI (inference) system, the data collection system, the teleoperation systems and the on-robot reinforcement learning system. Set the technical direction and architecture for how learned models run, are evaluated, and improve on real robots. Deliver these systems end-to-end on physical robots — from bring-up through reliable, real-time operation in demanding industrial environments. Own on-robot deployment and closed-loop evaluation of policies, turning real-world performance into measurable improvements. Partner with and influence the robotics software team and the ML research team to align interfaces and priorities across the stack. Grow the direction — mentor engineers and raise the technical bar for embodied systems work. Requirements Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field with significant relevant experience, or a PhD degree. Track record of leading complex robotic or embodied systems end-to-end and setting technical direction for other engineers. Strong proficiency in both C++ and Python, with solid systems programming and real

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Sourcing Manager – AI Infrastructure to lead strategic sourcing activities across key infrastructure technologies supporting Graphcore’s AI compute platforms. Reporting into the Global Sourcing Management team, this role will partner closely with Engineering, Product, Operations, Manufacturing, and Supply Chain teams to develop sourcing strategies, manage supplier relationships, negotiate commercial agreements, and ensure resilient supply for critical infrastructure components. The successful candidate will combine strong commercial acumen with a solid understanding of AI infrastructure technologies, enabling effective engagement with suppliers and technical stakeholders while balancing cost, quality, delivery, scalability, and risk objectives. This role draws upon leading practices from AI infrastructure sourcing environments while aligning with Graphcore’s strategic sourcing model. The Team The Global Sourcing Management (GSM) team defines and executes supplier strategies across Graphcore’s hardware and infrastructure ecosystem. The team works closely with Engineering, Product Management, Operati

About the Job Lead performance work that turns large-scale AI workloads into faster, more efficient systems. As a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems. Your work will connect compute, memory, networking and software behavior. You will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions. You will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability. This role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will lead investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to lead technically complex work and coordinate improvements across teams. · Familiarity with MLPerf, a

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Video Producer & Editor to own video production for RoboForce’s marketing and brand storytelling, from concept through final edit. Working with marketing, engineering, and deployment teams, you’ll turn technical progress, real-world deployments, and customer experiences into clear, compelling stories. Responsibilities Develop video concepts that make technical milestones, product capabilities, and customer experiences accessible and engaging. Lead production from start to finish, including scripts, storyboards, interview questions, shot lists, schedules, equipment, people, and locations. Film robots, people, and environments in the lab and at deployment sites, handling camera, lighting, and audio. Edit finished videos with strong pacing, sound, color, captions, and basic motion graphics. Produce product and prototype demos, testing videos, product reveals, deployment stories, customer testimonials, and brand films. Adapt videos for the RoboForce website, YouTube, LinkedIn, X, and events. Maintain a production calendar, manage incoming requests and feedback, and build a searchable footage library. Apply RoboForce’s visual identity across framing, typography, graphics, motion, and sound while bringing fresh creative ideas. Work with engineers to represent robot capabilities and test conditions accurately. Requirements Professional video production experience, with direct ownership of planning, shooting, and editing. A strong portfolio demonstrating creativity, visual storytelling, and production craft. Confidence with cameras, lighting, audio, and editing software such as Premiere Pro or DaVinci Resolve. Experience turning loosely defined requests into clear concepts and prod

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world's most transformative technologies. Our U.S. operations play an important role in building the future of AI computing. The Opportunity As Supply Chain Manager, you will lead end-to-end supply chain execution, supplier delivery performance, and program operations for critical networking, interconnect, and hardware platforms. You will align demand, material readiness, build plans, factory capacity, and delivery commitments with manufacturing ramp schedules across Graphcore's global operations. This role combines hands-on execution with strong operational and financial judgment. You will partner with Engineering, Product, Manufacturing, Quality, Finance, Procurement, and external suppliers and integrators to manage complex dependencies, support new product introduction (NPI), and scale reliable supply chain processes. What You'll Do Lead day-to-day operational engagement and performance management with global component suppliers, contract manufacturers, and rack-level system integrators. Manage supplier allocation, material availability, factory readiness, line capacity, build schedules, and final system delivery commitments for laboratory testing, validation, and deployment ramps. Aggregate demand signals across Engineering, Product, Manufacturing, and other internal teams to create aligned forecasts, build plans, and target commitments for suppliers and integration sites. Drive supply chain readiness and factory ramp execution through NPI milestones, including engineering validation testing (EVT), design validation testing (DVT), and production validation testing (PVT). Monitor component and system