Robot Operating System (ros)

Robot Operating System (ros) Engineer Jobs

2 jobs found

Today

Senior Robotics Systems Software Engineer

Cyngn Mountain View, CA

Mountain View, CA

Today

$180k - $200k/yr Full time Senior Autonomous Driving Engineering

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Job Description

Senior Robotics Systems Software Engineer position on Cyngn’s Autonomy team, building and deploying software across the autonomous driving stack for industrial vehicles.

Responsibilities

Design, develop, test, and deploy autonomy software for industrial vehicles, covering behavior and decision-making, motion planning, controls, and vehicle systems
Develop and maintain production-quality C++ and Python software running on Cyngn’s autonomous vehicle platforms
Develop and integrate algorithms for navigation, trajectory generation, vehicle control, obstacle handling, and autonomous behaviors
Integrate autonomy software with sensors, drive-by-wire systems, vehicle hardware, and other onboard software components
Bring up, validate, and debug software on real vehicles, tracing issues across autonomy modules, middleware, hardware interfaces, and vehicle behavior
Create simulation scenarios, testing infrastructure, metrics, and regression tests to validate autonomy behavior before deployment
Investigate field issues and edge cases, reproduce failures, identify root causes, and implement robust production fixes
Support deployment and validation at customer facilities, translating real-world observations into autonomy stack improvements
Collaborate with engineers in Planning, Controls, Perception, Localization, Vehicle Infrastructure, Hardware, QA, and Operations
Contribute to architecture discussions, code reviews, technical design, and continuous improvement of the autonomy software

Requirements

BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field, or equivalent practical experience
3+ years of hands-on experience developing software for robotics, autonomous vehicles, or other autonomous systems
Strong proficiency in modern C++ and working proficiency in Python
Hands-on experience developing, testing, and deploying software on real robotic systems
Experience with ROS/ROS2 or comparable robotics middleware
Working knowledge of core robotics concepts including coordinate frames, kinematics, state estimation, motion planning, feedback control, and sensor integration
Strong systems-level understanding of how autonomy components interact with each other and with vehicle hardware
Experience debugging complex robotic systems where failures can span multiple software modules or hardware interfaces
Strong software engineering fundamentals: algorithms, data structures, software architecture, testing, and code review
Strong communication and problem-solving skills, with the ability to work across multiple engineering disciplines

Technologies

C++
Python
ROS
ROS2
Linux
Git
Docker
CMake

Bonus Qualifications

Technical depth in at least one area of robotics or autonomous systems: behavior and decision-making; motion planning; vehicle or motion control
Experience developing autonomous vehicles, mobile robots, industrial robots, or similar systems
Experience with behavior trees, state machines, or other architectures for autonomous decision-making
Experience with search-based or sampling-based motion planning methods such as A*, Hybrid A*, RRT, or related algorithms
Experience with feedback control, vehicle dynamics, trajectory tracking, MPC, or optimization-based control
Experience with simulation environments and automated autonomy testing
Experience integrating sensors, actuators, drive-by-wire systems, or embedded/real-time components
Experience developing tooling, metrics, and CI/CD infrastructure for robotic systems
Familiarity with Linux, Git, Docker, CMake, and modern software development workflows
Experience taking robotics functionality from prototype through validation and production deployment

First 90 Days

Build an understanding of Cyngn’s autonomy architecture, simulation environment, vehicle platforms, development workflow, and deployment process
Partner with engineers across autonomy, infrastructure, hardware, QA, and operations to trace representative vehicle behaviors and identify high-value reliability, integration, and test-coverage risks
Deliver one scoped production improvement (example: fix a well-understood autonomy defect, add a regression scenario, or improve diagnostic tooling) and validate it in simulation and, where appropriate, on a vehicle
Propose a prioritized plan for addressing one or two larger cross-stack risks, including candidate success metrics, data sources, and measurement approach

By 6 Months

Complete a production-quality autonomy improvement spanning two or more subsystem boundaries, accepted into a release candidate and/or deployed at production customer sites
Establish baseline metrics and demonstrate early improvement such as improved scenario pass rate, fewer interventions, reduced tracking error, or faster failure resolution
Add reusable simulation scenarios, regression tests, diagnostics, or validation tools incorporated into team release-candidate testing
Publish a technical design or process improvement reviewed and adopted by affected teams

By 12 Months

Demonstrate sustained, measurable production improvement against the six-month baseline through broader deployment and fleet monitoring
Own a significant autonomy capability from design through implementation, vehicle validation, deployment, and production monitoring
Improve team effectiveness through documentation, code and design reviews, and reusable cross-stack debugging practices
Demonstrate technical ownership via observable signals including reviewing one or two repositories, leading triage for a class of field issues, or maintaining adopted runbooks and tools used by other engineers

Benefits

Health benefits (Medical, Dental, Vision) through Aetna, Kaiser Permanente, and Guardian, with multiple plan tiers
Ancillary benefits including accident, critical illness, and hospital indemnity plans (Voya)
Company-paid basic life insurance, plus voluntary (supplemental) life for you and your dependents
Short-term and long-term disability insurance, fully paid by Cyngn
HSA and FSA (Health & Dependent Daycare)
Employee Assistance Program
1:1 Health Concierge
Company 401(k)
Commuter Benefits
Flexible PTO policy
Paid Parental Leave
Daily lunches for in-office employees and a fully-stocked kitchen with snacks and beverages

Interview Process

Application review by a real person
One-sided video interview
Recruiter touch point covering the process and answering questions
45-minute interview with the hiring manager
Full-loop interview process with 3-4 additional conversations to evaluate technical and soft skills and culture fit
Final onsite interview with the team

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1d ago

Senior Machine Learning Engineer, Perception and Controls

Capstan Medical, Inc. West Menlo Park, CA

West Menlo Park, CA

1d ago

Full time Artificial Intelligence Computer Vision Data Analysis

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Job Description

Capstan Medical, Inc. is building robotics and controls for cardiac healthcare, and this role sits within the team that turns intraprocedural imaging into actionable perception. You will help develop real-time registration and pose estimation for devices inside a patient, while also producing the validation and design documentation needed to meet FDA design controls.

In this senior position, you will work across perception, data, and deployment so that learned components can run on a robotic system with strict latency requirements. The work spans end-to-end ownership, from model and data pipeline development to testing, documentation, and practical feedback from clinical partners.

What you will do

Develop methods to register intraprocedural imaging, such as fluoroscopy and echocardiography, to the robot.
Estimate the pose of catheters and implants from medical images.
Fuse image-based estimates with robot kinematics and other sensing, and quantify uncertainty for each estimate.
Build data pipelines to capture, align, label, and version imaging and robot data for training and evaluation.
Use simulation and synthetic data when real clinical data is limited.
Fit and improve models of device behavior from data and collaborate with controls engineers to enhance control.
Partner with clinical engineers and physicians to understand what the images show, what matters during the procedure, and what accuracy is sufficient.
Read relevant literature, prototype promising ideas, and clearly communicate what works and what does not on Capstan’s data.
Deploy models on the robot while meeting real-time latency budgets.
Write validation materials, test datasets, and design documentation to support FDA design controls for learned components.

Requirements

MS in Computer Science, Electrical Engineering, Robotics, or a related field; PhD is a plus.
4+ years of professional experience in computer vision or machine learning (classical or learned), including at least one system shipped to production on real-world data.
Experience handling scarce, noisy, or expensive data, using approaches such as synthetic data, augmentation, self-supervision, or physics priors.
Experience building machine learning systems on data from physical platforms such as robots, cameras, medical imaging, or sensors.
Ability to thrive in a fast-paced environment and own problems end-to-end.
Ability to work onsite 3–4 days per week, split flexibly between Santa Cruz, CA and West Menlo Park, CA, with at least 1 day per week in Santa Cruz.

Technologies

Python, PyTorch, C++, ROS, ROS2
ONNX, TensorRT
Kalman filters, factor graphs

Workplace details

Location: West Menlo Park, CA (hybrid)
Workplace type: Hybrid, onsite 3–4 days per week across Santa Cruz and West Menlo Park, CA, with at least 1 day per week in Santa Cruz
Reports to: Robotics & Controls Manager

Benefits

Outstanding benefits with medical, dental, and vision covered at 100% for you and your family, plus flex time off.
Fun, fast-paced, collaborative environment focused on transformational technologies in cardiac healthcare.
Work-hard, play-hard culture with office outings.

Preferred qualifications

Ultrasound or echocardiography experience, strongly preferred; fluoroscopy or X-ray experience is also valuable, including 2D/3D registration or digitally reconstructed radiographs.
Experience tracking catheters, needles, surgical tools, or continuum robots in images.
Sensor fusion and state estimation experience (for example, Kalman filters or factor graphs).
System identification or learned dynamics for control, including residual models on top of physics.
Robotics software experience with ROS/ROS2 and on-device inference under latency constraints (ONNX, TensorRT).
Data platform and MLOps experience, including dataset versioning and experiment tracking practices.
Medical device or safety-critical background, including validating ML under FDA design controls.
Experience as an early ML engineer on a team, setting up tools, data practices, and evaluation others can build on.
Publications at venues such as MICCAI, IPCAI, CVPR, ICRA, or IROS.

AI tools notice

Capstan Medical may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist the recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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Robot Operating System (ros) Engineer Jobs

Senior Robotics Systems Software Engineer

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