# Senior / Staff AI Research Engineer, Real-Time Inference at RoboForce > United States · Staff · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aroboforce%3A5474720008 (read 2026-11-12). ## Facts (observed) - Company: [RoboForce](https://alderhq.app/companies/roboforce) - Location text: Milpitas, CA; Milpitas, CA - Where it can be done from (inferred): United States (evidence: "Location: Milpitas, CA; Milpitas, CA") - Posted: 2026-11-05 (7 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-12 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/roboforce/jobs/5474720008 - Skills listed (inferred): Python, C++ ## Pay and sponsorship - Posted pay: $185k–$325k per year (from the description) - Market band for similar posted roles (SF Bay Area, n 197): p25 $241k, median $273k, p75 $298k - H-1B filings at this company for similar roles, FY26: 6, median offered wage $195k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### 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 Senior / Staff AI Research Engineer, Real-Time Inference to make embodied AI practical on the edge. In this role, you will drive the full stack of model optimization — from CUDA kernel engineering to quantization and compression — to deploy high-performance AI models on edge compute platforms powering RoboForce robots in the field. ### Responsibilities Develop and optimize inference pipelines for embodied AI models (VLA, perception, world models) targeting real-time execution on edge hardware such as NVIDIA Jetson platforms. Implement CUDA-level optimizations including custom kernels, memory layout tuning, and hardware-aware graph compilation to minimize model latency. Apply and advance model compression techniques — quantization (INT8/FP16/INT4), pruning, distillation, and structured sparsity — to achieve production-grade throughput on constrained devices. Profile and debug end-to-end inference stacks using tools such as NSight, TensorRT, and Triton to identify and eliminate performance bottlenecks. Collaborate with ML research and robotics teams to co-design model architectures that meet real-time control-loop latency requirements. Establish benchmarking frameworks to evaluate model performance across latency, throughput, power consumption, and accuracy tradeoffs on target hardware. ### Requirements Master's degree in Computer Science, Electrical Engineering, or related field with 4+ years of experience, or a PhD degree. Deep expertise in CUDA programming, GPU architecture, and low-level kernel optimization, including custom kernel authoring with tools such as Triton. Hands-on experience with model quantization, pruning, distillation, and deployment using frameworks such as TensorRT, ONNX Runtime, TVM, or Triton. Proficiency in C++ and Python; strong systems programming and performance profiling skills. Experience deploying ML models on edge or embedded hardware (e.g., NVIDIA Jetson, Orin, or equivalent ARM/GPU SoCs). Requires 5 days/week in-office collaboration with the teams. ### Bonus Qualifications Familiarity with embodied AI models — VLA, multimodal transformers, or diffusion-based policies — and their inference characteristics. Familiarity with compiler-based optimization pipelines such as XLA, torch.compile, or MLIR for graph-level model acceleration. Understanding of robotics system constraints such as control-loop timing, sensor fusion latency, and memory bandwidth limits on edge SoCs. Publication or production work in efficient deep learning or on-device ML systems. ### Benefits Competitive stock options/equity programs. Health, dental, and vision insurance, 401(k) plan. Visa sponsorship and green card support for qualified candidates. Lunches and dinners, a fully stocked kitchen, and regular team-building events. Compensation: Salary $185,000–$325,000 USD + Bonus + Equity The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aroboforce%3A5474720008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.