FieldAI · 2 weeks ago
1.12 Senior AI Software Engineer — Edge Model Optimization & Deployment
Seattle, WA
Full-time
Hybrid
Mid, Senior Level
$70K/yr - $300K/yr
3+ years expFieldAI is transforming how robots interact with the real world by building reliable and field-ready AI systems. The Senior AI Software Engineer will design and optimize deep learning models for edge deployment, collaborating with cross-functional teams to ensure the performance and reliability of AI solutions in real-world scenarios.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
11-50 employees
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
Company data provided by crunchbase