1.12 Senior AI Software Engineer — Edge Model Optimization & Deployment1.12 Senior AI Software Engineer — Edge Model Optimization & Deployment3 weeks ago Be among the first 25 applicantsField AIis transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.Field AIis transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.What You’ll Get To Do:Design, implement, and optimize 2D/3D CNN and Transformer-based models for deployment on edge and embedded platforms (e.g., NVIDIA Jetson)Apply model compression techniques such as quantization, pruning, distillation, and weight sharing to achieve efficient real-time inference under strict constraints on power, bandwidth, and latencyConvert, compile, and optimize neural networks for runtime using TensorRT, ONNX, CUDA, and C++Develop and maintain ROS nodes and interfaces that integrate perception models with the broader robotic systemCollaborate closely with AI researchers, robotics engineers, and hardware teams to translate cutting-edge research into deployable solutions on edge devicesBuild benchmarks, profile and debug runtime issues, and validate performance against real-world scenariosEnsure the reliability, robustness, and stability of deployed models operating in challenging, resource-constrained environmentsWhat You Have:3+ years of professional experience in developing and deploying deep learning models for edge, embedded, or real-time systemsBS, MS, PhD, or equivalent in Computer Science, Robotics, Electrical Engineering, or a related fieldStrong proficiency in PyTorch, C++, Python, and CUDA for AI/ML development and model optimizationHands-on experience with TensorRT, ONNX, TVM, or similar toolchains and compilers for edge deploymentProven track record applying model optimization techniques (quantization, pruning, distillation)Deep understanding of hardware limitations and performance tuning for Jetson, ARM, GPUs, or other embedded platformsExperience integrating AI models into ROS-based robotic systemsSkilled in profiling and debugging GPU workloads, with familiarity using tools like Nsight or CUPTIAbility to work independently and collaboratively within cross-functional teams in a fast-paced, iterative environmentThe Extras That Set You Apart:Familiarity with JAX or additional ML frameworks beyond PyTorchExperience with compiler-level optimizations for GPU inferenceBackground in deploying AI solutions for real-time robotics operating in the fieldCompensation and BenefitsOur salary range is generous ($70,000 - $200,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field , winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.Seniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyReferrals increase your chances of interviewing at Field AI by 2xSign in to set job alerts for “Artificial Intelligence Engineer” roles.Software Engineer, Machine Learning (Multiple Levels) - SlackSan Francisco, CA $167,300.00-$334,600.00 2 days agoSan Francisco, CA $150,000.00-$260,000.00 4 months agoSan Francisco, CA $180,000.00-$240,000.00 4 days agoSan Francisco, CA $130,000.00-$180,000.00 4 months agoResearch Engineer - Machine Learning (ML)San Francisco, CA $150,000.00-$300,000.00 10 months agoSan Francisco, CA $160,000.00-$185,000.00 5 days agoSan Francisco, CA $140,000.00-$200,000.00 3 days agoSan Francisco, CA $140,000.00-$180,000.00 6 months agoPerception Software or Machine Learning EngineerSan Francisco, CA $150,000.00-$200,000.00 5 days agoSan Francisco, CA $140,000.00-$215,000.00 1 month agoSan Francisco, CA $175,000.00-$225,000.00 8 months agoSan Francisco, CA $140,000.00-$160,000.00 5 months agoSan Francisco, CA $150,000.00-$250,000.00 1 month agoSan Francisco, CA $100,000.00-$149,998.00 2 days agoSoftware Engineer, Python - AI Training (Freelance, Remote)San Francisco, CA $130,000.00-$160,000.00 5 months agoSan Francisco, CA $130,000.00-$200,000.00 2 weeks agoSan Francisco, CA $100,000.00-$300,000.00 1 year agoMachine Learning Engineer (I, II, or Sr.)We’re unlocking community knowledge in a new way. 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