Investigate emerging robotics technologies, evaluate product capabilities, and translate research findings into actionable insights that inform product strategy and development.
Responsibilities
Research emerging robotics technologies, industrial automation solutions, and advancements in robot perception, motion planning, manipulation, and autonomous operation.
Evaluate industry trends, competitive products, market developments, and customer needs to identify opportunities for product innovation and differentiation.
Analyze customer workflows, operational challenges, and automation requirements to identify unmet needs and potential product enhancements.
Design and conduct technical evaluations, proof-of-concept studies, experiments, and product feasibility assessments.
Collect, analyze, and interpret research data, performance metrics, test results, and customer feedback to support evidence-based product decisions.
We are looking for a Software Lead who leads by example, writing production code every day and setting the bar for how software gets built at an AI-native surgical robotics company. You'll own the software that ties our system together, from embedded firmware to real-time services to the interfaces physicians use at the table.
Responsibilities
Hands-on development: Write production code across firmware, real-time services, and clinician-facing apps, taking on the hardest and highest-risk parts yourself.
System architecture: Architect software that scales with Mosaic's ambitions, bringing perception and machine learning models into a real-time, safety-critical robotic system.
Lab-to-fix loop: Debug issues from the bench and preclinical studies through root cause to verified fix, so each study improves the next.
AI-native development: Define how we use agentic development in a regulated industry to improve both quality and speed.
Engineering standards: Own branching, CI/CD, automated testing, and releases. Review code daily and hold a high bar for readability, test coverage, and defensive design.
The Senior Perception Software Engineer owns key components of Cyngn’s autonomy perception stack, leading the design, development, and deployment of object detection, tracking, and sensor fusion algorithms.
Responsibilities
Lead the design, implementation, and deployment of object detection, tracking, and sensor fusion algorithms for autonomous vehicles, from research through production.
Own the architecture and technical direction of assigned perception subsystems, making sound trade-offs among accuracy, latency, compute, and robustness.
Define perception performance metrics and evaluation frameworks, and drive the tooling and infrastructure for continuous testing, performance validation, and system diagnostics.
Build and curate ground-truth and regression datasets that enable automated backtesting of perception changes.
Lead testing and deployment of production software in simulation environments and on production vehicles, driving root-cause analysis and resolution of perception failures.
In this entry-level role, you will help design, develop, prototype, and qualify automated manufacturing processes that produce launch vehicle hardware. You will build industrial robot-based process-qualification cells, run Design of Experiments on production alloys.
Compensation
Base Pay Range for: WA applicants is $91,852.00 - $128,592.45
Responsibilities
Design, develop, prototype, and qualify automated manufacturing processes (welding, inspection, machining, additive) for launch vehicle structures, propulsion, and integration systems.
Design and execute Design of Experiments on production alloys to characterize capability, define operating windows, and lock in production parameters.
Drive first-article proofs and low-rate initial production runs. Author qualification packages per applicable industry standards (AWS / ASME for welding, ASTM / AMS for NDT).
Build and commission automated cells: weld robots, inspection robots, and robot-tended CNC and laser cells. Design or specify end-effectors, fixturing, and workholding. Program robots and CNC motion. Integrate machine vision and force sensing.
Author requirements documents, process specs, DoE reports, qualification packages, and work instructions.
Co‑op positions in the Applied Ocean Physics & Engineering Department for students in engineering and science fields to gain experience in autonomous underwater vehicles, robotics, acoustic communications, and related research.
Compensation
Fixed Hourly Rate:
Engineering Co-Op (First) $27.50 spring semester of 2nd year
Engineering Co-Op (Second) $29.00 spring semester of 3rd year
Engineering Co-Op (Third) $31.00 spring semester of 4th year
Responsibilities
Assist with design, programming, and data analysis for oceanographic research projects
Use CAD, prototyping, fabrication, assembly, and testing tools
Lead research and development of robotics and AI systems on real hardware, mentor students, and contribute to proposals and publications.
Compensation
Salary will be commensurate with qualifications and experience and will follow institutional guidelines. The position includes a competitive benefits package.
Responsibilities
Develop, implement, and deploy robotics and AI methods on real hardware
Validate and test systems for reliability and safety
Lead publications and present at leading venues
Co-develop federal and foundation proposals
Mentor graduate and undergraduate students
Requirements
Ph.D. in Mechanical Engineering, Electrical or Computer Engineering, Computer Science, Robotics, Aerospace Engineering, Mechatronics, or a closely related field
Internship in robotic AI and algorithm development, providing hands‑on experience with real robotic systems, edge AI, and intelligent perception, planning, and control.
Responsibilities
Develop and evaluate AI algorithms for robotics
Implement and optimize algorithms in real robotic systems or simulators
Integrate AI models with sensors and embedded platforms
Design experiments, run simulations, and analyze performance data
Support demo systems and proof‑of‑concept development
Requirements
Master's in Robotics, Artificial Intelligence, Computer Science, Electrical Engineering, or related fields
PhD in Robotics, Artificial Intelligence, Computer Science, Electrical Engineering, or related fields
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