Sr. Robotics Engineer - Perception and AI

We are Fresh. Together let’s build the future. With partners and clients, we practice strategy, design, development, and engineering to harness the power of technology and create what's next. Our cross-disciplinary approach blends human ingenuity and technology, empowering us to meet uncertainty with confidence. What got us to today won’t get us to tomorrow, so we test our assumptions and always strive for growth.

From the products we build to the partners we collaborate with, we believe people make the difference. And we do so as a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive.

The Fresh Consulting hardware and robotics team is working with customers to build and deploy fleets of robots and intelligent distributed devices into the field. You’ll own perception pipelines that bridge what our systems see and how they act, from sensor data collection through edge deployment. Our programs involve deploying in the real world  are looking for a Senior Robotics Engineer with a focus on perception and applied AI.

While the methodology for building these systems has evolved rapidly, we have adapted alongside it. In addition to classical CV and purpose-trained models, we deploy vision foundation models and learned policies on active programs whenever they are the right fit for the challenge. Regardless of the approach, our standard remains consistent: the solutions we deliver must operate reliably once in the customer's hands.

If you have a strong background in software engineering, want to work across various robot platforms and sensor stacks rather than a single one, and want to help shape and lead how intelligent robotic systems are built and deployed, we’d love to chat.

• 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.

• B.S./M.S. in…