Sr. Robotics Engineer - Perception and AI
Fresh Consulting2 months ago
Bellevue, WA, USASenior
Base Salary
$125k - $150k/yr
Responsibilities
- Design and own end-to-end computer vision and machine learning pipeline architecture, including data collection, dataset curation, model training, event logic, performance evaluation, and edge deployment.
- Select and deploy classical computer vision, trained detectors, foundation models, and learned policies based on technical requirements.
- Develop and maintain data engines with auto-labeling, synthetic data generation, field observability, and continuous model improvement loops.
- Fuse RGB-D camera, LiDAR, and IMU data, including sensor calibration and multimodal perception approaches.
- Maintain IoT and fleet data pipelines for OTA model updates and telemetry across deployed robotic units.
- Define and review perception requirements and verify system performance through test automation and closed-loop evaluation.
- Evaluate methods against latency, determinism, cost, and safety-certification considerations.
- Mentor robotics engineers through design and code reviews, with emphasis on perception and machine learning.
- Collaborate with hardware, cloud, and software engineering teams on stack compatibility and technical risk management.
- Participate in client scoping calls and customer site visits as a technical advisor.
Requirements
- Bachelor's or master's degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent hands-on experience.
- At least 3 years of professional experience in robotics or computer vision/machine learning.
- Expert-level Python and C++ proficiency with a record of completing complex projects.
- Deep PyTorch experience across dataset development, training, and edge deployment.
- Hands-on OpenCV and classical computer vision experience.
- Deep sensor-fusion experience across cameras, LiDAR, and IMUs, including calibration and real-hardware debugging.
- Strong understanding of ROS 2 and perception integration with navigation and planning stacks.
- Proficiency with Docker, Linux command line, shell scripting, and Git workflows.
- Experience with vision foundation models, open-vocabulary segmentation and detection, learned policies, imitation learning, diffusion policies, or open VLA model fine-tuning is preferred.
- Experience optimizing DNNs for edge computing with quantization, distillation, TensorRT, ONNX, and CUDA is preferred.
- Experience with synthetic data and simulation tools such as Mujoco, Isaac Sim, Isaac Lab, or Gazebo is preferred.
- Experience with data engines, auto-labeling, active learning, closed-loop evaluation, IoT data pipelines, MQTT, real-time or deterministic systems, autonomous path planning, and behavior verification is preferred.
- Familiarity with mmWave Radar, SLAM, 3D geometry, controls and dynamics, Kalman Filters, advanced state estimation, cloud platforms, and edge NPUs is preferred.
- Experience leading or mentoring engineering teams in a professional or consulting context is preferred.
- Strong oral and written communication skills for explaining technical tradeoffs to customer stakeholders.
Benefits
- Washington-State-based base salary hiring range is $125,000 to $150,000.
- The role involves work across multiple robot platforms and sensor stacks, real-world fleet deployments, occasional customer site visits, and client scoping calls.
- Fresh Consulting is an E-Verify participating company.
Categories
ML EngineeringRobotics
About Fresh Consulting
Fresh Consulting is a strategy, design, software, and hardware engineering consultancy that builds digital products, robotics, and connected systems for businesses. It delivers end-to-end services—UX/UI, brand identity, web/mobile and embedded development, and systems engineering—via integrated project teams. The company is privately held and headquartered in Bellevue, Washington, supporting initiatives that link humans, software, and devices from early strategy through delivery.