{"id":2036774,"url":"https://alion.io/job/trener-robotics-senior-ai-compute-engineer","title":"Senior AI Compute Engineer","company":{"id":685055,"name":"Trener Robotics","domain":"trener.ai","url":"https://alion.io/company/trener","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":291000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"ROCm","optional":false},{"name":"TensorRT","optional":false},{"name":"Vitis","optional":false}],"status":"live","first_seen_at":"2026-10-07T16:05:07Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-25T02:07:54Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"About Us\nHelp make physical AI a reality.\nAt Trener Robotics, we are building the future of industrial automation through intelligent agents that understand natural language and control robotic stations. Our product, Acteris, bridges AI and robotics to deliver flexible, user-friendly automation.\nWe are a fast-growing, venture-backed company entering a phase of rapid scale. Our mission is to make AI-powered robotics accessible, and we are looking for a Senior AI Compute Engineer to own the deployment and execution of complex models across our physical edge hardware.\nYour Mission\nOwn the compute software stack that enables our robots to process heavy AI workloads and real-time control algorithms seamlessly at the edge. You will deeply understand the underlying hardware to build software that extracts maximum performance from it, without being responsible for hardware design itself. You will actively collaborate with and support the external partners designing our compute platforms. In this role, you will own outcomes for a critical product area, bringing structured judgment to complex problems as you bridge the gap between theoretical model performance and physical, real-world deployment.\nKey Responsibilities\nDesign software systems spanning multiple services to run Physical AI processes across heterogeneous architectures (CPU, GPU, NPU, FPGA).\n\nBuild, optimize, and test software pipelines for deploying neural networks, large language models (LLMs), vision transformers, VLMs, and VLAs directly to edge devices.\n\nDeploy and accelerate deterministic robotics algorithms, ensuring they meet strict real-time execution constraints alongside machine learning workloads.\n\nSet code quality standards for the team and design test strategies for entire features, ensuring that your definition of \"done\" means it works on the floor, not just in CI.\n\nDrive alignment across cross-functional teams by proactively coordinating handoffs across roles (e.g., firmware, software, deployment) instead of waiting to be looped in.\n\nPlan across projects with clarity and confidence, breaking large initiatives into independently shippable increments and flagging schedule risk early.\n\nPush back on requirements that seem technically infeasible and run scoped spikes to de-risk hard problems rather than just flagging concerns.\n\nWhat We Are Looking For\nProven experience working with state-of-the-art algorithms used in autonomous systems or advanced robotics.\n\nProven experience deploying complex algorithms onto embedded and edge devices (specifically beyond standard laptops and desktop PCs).\n\nDeep understanding of hardware execution models (e.g., memory hierarchies, compute pipelines) to write software that maximally exploits the underlying compute and anticipates bottlenecks.\n\nExperience accelerating workloads on CPUs, GPUs (e.g., CUDA, TensorRT, ROCm) or FPGAs.\n\nFamiliarity using Altera's Quartus and/or AMD's Vitis.\n\nStrong proficiency in writing production-grade, highly optimized C++ and Python.\n\nParticularly strong candidates will have:\nAn understanding of robot kinematics (forward and inverse), numerical optimization, and constraint-based programming.\n\nKnowledge of the inner workings of modern AI models and their specific hardware requirements.\n\nA background in electronics engineering to effectively interface software with edge hardware.\n\nWhat You Will Get\nOwnership of the AI compute software layer for a category-defining automation platform.\n\nThe opportunity to work hands-on with real robots and cutting-edge edge compute hardware from day one.\n\nCollaboration with a high-caliber team across AI, robotics, systems engineering, and product.\n\nA fast-moving, mission-driven environment where rigorous engineering and research-informed thinking are equally 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