Senior Robotics Perception Engineer - Edge ML & CV

Fresh Consulting; Bellevue (WA); On-site; USD 125,000 - 150,000; Full time

Job summary

Fresh Consulting in Washington state is seeking a seasoned robotics professional to design and own perception pipelines for CV/ML applications, guiding edge deployments and data collection from multiple sensors. You will drive model training, evaluation, and field readiness while collaborating across hardware, cloud, and software teams.

You will mentor engineers on perception and ML topics, ensure compatibility with navigation stacks, and participate in client scoping calls when needed to align

Qualifications

• 3+ years of professional experience in robotics or CV/ML.
• Expert-level proficiency in Python and C++, with a track record of driving complex projects to completion.
• Deep experience with PyTorch across the full model lifecycle, including dataset work, training, and edge deployment.
• Hands-on experience with OpenCV and classical computer vision techniques.
• Deep experience with sensor fusion across camera, LiDAR, and IMU, including calibration and debugging on real hardware.
• Excellent understanding of ROS 2, including integration of perception outputs with navigation and planning stacks.
• Proficient with Docker, Linux command line, shell scripting, and Git workflows.
• Excellent oral and written communication skills, with the ability to explain technical tradeoffs to customer stakeholders.

Responsibilities

• Design and own CV/ML pipeline architecture end-to-end: data collection, dataset curation, model training, event logic development, pipeline performance evaluation, and edge deployment.
• Select the optimal approach for each problem, utilizing classical CV and purpose-trained detectors where appropriate, or foundation models and learned policies (including VLA models) when task complexity makes scripted methods impractical.
• Develop, deploy and maintain the data engine pipeline, including auto-labeling, synthetic data generation from simulation, and field data observability loops to support continuous model performance improvements, using differentiated tactics and resource allocations to handle pre- and post-deployment requirements.
• Fuse data from RGB-D cameras, LiDAR, and IMUs, with deep awareness of each modality’s tradeoffs, and familiarity of classical and learning-based multi-modal approaches, to fulfill specific technical goals.
• Maintain IoT and fleet data pipelines supporting OTA model updates and telemetry across deployed units.
• Define, analyze, and review perception requirements, verifying system performance through test automation and closed-loop evaluation.
• Consult on the suitability of newer methods, considering latency budgets, determinism, cost, and safety certification when favoring conventional approaches.
• Mentor engineers on the Fresh Robotics team, reviewing designs and code while helping them grow specifically in perception and ML disciplines.
• Collaborate with hardware, cloud, and software engineering disciplines to ensure perception stack compatibility and identify technical risks early for larger scope technical alignment.
• Participate occasionally in client scoping calls or customer site visits to assess feasibility and effort levels as a technical advisor.

Skills

Python & C++

PyTorch

OpenCV

ROS 2

Docker

Linux

Git workflows

Communication skills

Education

B.S./M.S. in Computer Science, Robotics, Electrical Engineering, or related field

Tools

ROS 2 tooling

Docker

Git

Job description

Fresh Consulting in Washington state is seeking a seasoned robotics professional to design and own perception pipelines for CV/ML applications, guiding edge deployments and data collection from multiple sensors. You will drive model training, evaluation, and field readiness while collaborating across hardware, cloud, and software teams.

You will mentor engineers on perception and ML topics, ensure compatibility with navigation stacks, and participate in client scoping calls when needed to align