1.12 Senior AI Software Engineer Edge Model Optimization & Deployment

1.12 Senior AI Software Engineer Edge Model Optimization & Deployment

1.12 Senior AI Software Engineer Edge Model Optimization & Deployment

Get AI-powered advice on this job and more exclusive features. 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. 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 Youll 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 latency Convert, 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 system Collaborate closely with AI researchers, robotics engineers, and hardware teams to translate cutting-edge research into deployable solutions on edge devices Build benchmarks, profile and debug runtime issues, and validate performance against real-world scenarios Ensure the reliability, robustness, and stability of deployed models operating in challenging, resource-constrained environments

What You Have:

3+ years of professional experience

in developing and deploying deep learning models for edge, embedded, or real-time systems BS, MS, PhD, or equivalent in Computer Science, Robotics, Electrical Engineering, or a related field Strong proficiency in

PyTorch ,

C++ ,

Python , and

CUDA

for AI/ML development and model optimization Hands-on experience with

TensorRT ,

ONNX ,

TVM , or similar toolchains and compilers for edge deployment Proven track record applying model optimization techniques (quantization, pruning, distillation) Deep understanding of hardware limitations and performance tuning for

Jetson ,

ARM , GPUs, or other embedded platforms Experience integrating AI models into

ROS -based robotic systems Skilled in profiling and debugging GPU workloads, with familiarity using tools like

Nsight

or

CUPTI Ability to work independently and collaboratively within cross-functional teams in a fast-paced, iterative environment

The Extras That Set You Apart:

Familiarity with

JAX

or additional ML frameworks beyond PyTorch Experience with compiler-level optimizations for GPU inference Background in deploying AI solutions for real-time robotics operating in the field

Compensation and Benefits Our 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 worlds 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 Revolution To 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. Were 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 level

Seniority level

Not Applicable Employment type

Employment type

Full-time Job function

Job function

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