Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and systems for robotics data collection, teleoperation, and model evaluation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Building real-time systems for robotic control, sensor fusion, and perception pipelines
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Collaborating with ML engineers and researchers to bring robotics research into production
• Delivering features at high velocity while maintaining system reliability and performance

Ideally, you have:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

XML job scraping automation by YubHub

You will work on a diverse range of technical challenges, from autonomy and navigation to systems integration and controls.

Responsibilities:

• Design and develop software for autonomous systems and edge devices, including navigation, perception, control, and networking

• Design APIs and system interfaces for integrating onboard hardware, sensors, and cloud services

• Collaborate with robotics, electrical, and mechanical engineers to deliver functional prototypes quickly

• Support and participate in regular field testing and/or Government demonstrations

Qualifications:

• Experience building complex systems, including autonomous platforms and edge devices

• Understanding of autonomous systems, path planning, sensor fusion, or controls

• Strong programming skills in Python, C++, and/or Rust

• Experience with robotics frameworks (e.g., ROS/ROS2) or real-time embedded systems

• Experience with embedded Linux systems and embedded software development

• Experience with low-level serial protocols (e.g., RS-232, CAN)

• Experience with hardware-in-the-loop testing and embedded debugging

• Excellent problem-solving skills and ability to work in a fast-paced startup environment

• Strong communication skills and the ability to collaborate effectively with cross-functional teams

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services

• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care

• Saronic pays 100% of the premium for employees and 80% for dependents

• Time Off: Generous PTO and Holidays

• Parental Leave: Paid maternity and paternity leave to support new parents

• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses

• Retirement Plan: 401(k) plan

• Stock Options: Equity options to give employees a stake in the company’s success

• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.

• Occasional standing and walking within the office.

• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.

• Visual acuity to read screens, documents, and reports.

• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.

• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status.

XML job scraping automation by YubHub

Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America.

To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team developing production-quality software that enables efficient and accurate creation of HD maps at Cyngn deployment-sites and robust localization for Cyngn’s autonomous vehicle fleets.

Responsibilities

• Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python.

• Develop tooling and metrics for performance validation and continuous testing frameworks.

• Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment.

Qualifications

• MS/Phd with focus in robotics or a similar technical field of study

• Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.

• In-depth understanding of matrix factorization algorithms and Lie algebra/groups.

• Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)

• Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.)

• 6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware.

• 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.

• Proficiency in Python.

• Excellent written & verbal communication skills.

Bonus Qualifications

• Proven record of top-tier publications or patents.

• Experience with GPU programming, CUDA.

• Experience in implementing automated map change detection and updating techniques.

• Experience implementing modern multi-sensor calibration and sensor mis-alignment detection algorithms.

• Experience with camera-based SLAM and 3D multi-view geometry.

• Experience working with ROS2 to design, build, and operate robotic systems.

• Exposure to modern software development version control and project management tools - Git, Jira, etc.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a small company with under 100 employees, operating with the energy of a startup. However, we're also publicly traded, which means our employees get access to the liquidity of our publicly-traded equity.

As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure.

Responsibilities

• Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
• Design and implement scalable solutions for both cloud services and autonomous vehicle systems
• Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
• Drive observability, monitoring, and incident response strategies
• Optimize performance and cost efficiency of cloud and edge computing resources
• Mentor team members and foster a developer-friendly environment
• Manage on-call rotations and incident response processes
• Architect solutions for processing and storing large-scale vehicle telemetry data
• Lead security initiatives and compliance efforts across infrastructure

Requirements

• 10+ years of relevant DevOps/Infrastructure experience
• Proven track record as a technical lead in platform or infrastructure teams
• Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
• Strong experience with service mesh (Istio) and Helm/Kustomize
• Deep understanding of ROS/ROS2 and Linux kernel configurations
• Experience with GPU configurations and ML infrastructure
• Expertise in ARM and NVIDIA CUDA platform configurations
• Strong programming skills in Python and shell scripting
• Experience with infrastructure automation (Ansible)
• Expertise in CI/CD tools (Jenkins, GitHub Actions)
• Strong system architecture and design skills
• Excellence in technical documentation
• Outstanding problem-solving abilities
• Strong leadership and mentoring capabilities

Nice to haves

• Experience with autonomous vehicle systems
• Track record of optimizing GPU-based ML infrastructure
• Experience with large-scale IoT deployments
• Contributions to open-source projects
• Experience with real-time systems and low-latency requirements
• Expertise in security implementations including SSO, IdP, and AWS Cognito
• Experience with JFrog artifactory and container registry management
• Proficiency in AWS IoT Greengrass
• Experience with container resource management on edge devices
• Understanding of CPU affinity and priority scheduling
• Track record of implementing cost optimization strategies
• Experience with scaling systems both horizontally and vertically

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.

Responsibilities

• Design and implement robust robotics software using C++ and ROS/ROS2 framework
• Develop and maintain critical system components including state management, health monitoring, and diagnostic tools
• Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems
• Implement and maintain CAN bus communications and firmware update systems
• Configure and optimize container environments for various autonomous vehicle components
• Develop and maintain system provisioning and configuration management tools
• Implement performance profiling and optimization across the autonomous vehicle stack
• Create and maintain automated testing and validation frameworks for system integration
• Troubleshoot complex system issues across hardware, software, and network interfaces
• Collaborate with cross-functional teams to integrate perception, localization, and control systems

Requirements

• 5+ years of experience in robotics software development or system integration
• Strong proficiency in ROS/ROS2 and Ubuntu-based systems
• Extensive experience with real-time system performance optimization and CUDA programming
• Deep understanding of autonomous vehicle architecture and systems integration
• Strong background in electrical systems, CAN protocols, and firmware development
• Expertise in container technologies (Docker, Podman) and their underlying systems
• Experience with configuration management tools like Ansible
• Strong programming skills in C++, Python, and shell scripting
• Thorough understanding of networking principles and protocols
• Experience with high-performance computing and system optimization
• Strong debugging and problem-solving skills across hardware and software domains
• Excellent documentation and communication skills

Nice to Have

• Experience with fleet management systems or logistics software
• Experience with industrial automation or autonomous mobile robots
• Knowledge of Open-RMF middleware framework
• Experience with telematics data processing and analytics
• Familiarity with computer vision and machine learning deployment
• Experience with over-the-air (OTA) update systems
• Knowledge of safety-critical software development practices
• Experience with real-time operating systems
• Familiarity with automotive-grade software development
• Background in system safety and fault tolerance design
• Experience with simulation environments for autonomous systems testing
• Knowledge of DevOps practices and CI/CD pipelines

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

**Internship Experience:"

• Conduct an in-depth robotics workflow gap analysis by comparing Ansys capabilities with leading robotics stacks such as ROS2, Gazebo/Ignition, Isaac Sim, and Drake. And achieve any possible combination of the below three objectives.
• Develop co-simulation prototypes that connect Ansys Mechanical/Motion/Twin Builder with ROS2 topics or Isaac Sim, leveraging USD, URDF, and real-time data exchange methodologies.
• Build a cutting-edge system-level dynamic model of robot including kinematics, multibody dynamics, actuator models, and control loops for both manipulators and mobile robots.
• Explore physics-informed AI by utilizing Ansys simulations for synthetic dataset generation and reinforcement-learning training pipelines, enabling the creation of "Sim Ready" assets. Then, build proof-of-concept for the Sim Ready assets.
• Deliver a comprehensive technical report, demo scripts, and integration examples to support adoption by robotics OEMs and industry partners.

**What You’ll Need:"

• Currently pursuing a Bachelor’s or Master’s degree in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a related field in the penultimate or final year of study.
• Solid understanding of robotics concepts in core-physics like MBD (Multibody Dynamics), Structural mechanics, Controls, etc.  and in AI-ML Integration like ROS2, Gazebo/Ignition, Isaac Sim, or similar robotics platforms.
• Experience with physics-based simulation tools (e.g., Ansys Mechanical, Twin Builder) and familiarity with URDF/robot modeling standards is a plus.
• Bonus qualification - hands-on robotics lab experience, including building, testing, or integrating robotic systems.
• Proficiency in programming languages such as Python and C++.
• Strong analytical, problem-solving, and communication skills, with a collaborative and creative mindset.

**Key Program Facts:"

• Program Length: 12 weeks
• Working Model: Remote
• Full-Time/Part-Time: Full-Time
• Start Date: May or June 2026

**Salary Information:"

The base salary range across the U.S. for this role is between $32.00-$48.00 per hour. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.

XML job scraping automation by YubHub