Staff Software Engineer, Autonomous Systems

Wintermeyer Ventures; Alameda (CA); Ibrido; USD 210.000 - 300.000; Tempo pieno

Descrizione del lavoro

Wintermeyer Ventures in Alameda, CA, seeks an experienced autonomy engineer to design and deploy C++ software for autonomous maritime vehicles, working with onboard hardware and simulation tools.

You will integrate perception and planning algorithms, sensor data fusion, and localization while balancing performance and reliability on constrained compute, including Nvidia Jetson platforms, with Python tools for failure analysis.

Competenze

• Minimum 5 years in autonomy engineering or robotics software, with staff-level scope.
• Bachelor's degree in robotics, autonomous systems, aerospace, or defense technology.
• Strong C++ skills and experience shipping autonomy software on physical vehicles or hardware.
• Knowledge of autonomy algorithms including computer vision, sensor fusion, localization, planning, and decision-making.

Mansioni

• Design, implement, and deploy production autonomy software in C++ for onboard vehicle systems.
• Develop and integrate perception, localization, state estimation, planning, navigation, decision-making, and collision/terrain avoidance algorithms.
• Integrate radar, camera, and other sensor data for situational awareness and path planning.
• Build and maintain local and global planners using maps and sensor data to guide routes and behavior.
• Balance accuracy, robustness, cost, latency, and reliability on onboard compute (NVIDIA Jetson).
• Validate vehicle behavior with simulation, testing, telemetry, and real-world data; build Python tools to investigate failures and improve workflows.
• Contribute to architecture and ongoing autonomy stack development.

Conoscenze

C++

Python

ROS

Linux

Embedded systems

Sensor fusion

Perception

Path planning

Real-time OS

Computer vision

Formazione

Bachelor's degree in robotics/autonomous systems/aerospace/defense tech

Strumenti

NVIDIA Jetson

Gazebo/Simulation

Descrizione del lavoro

About the Role

Join an autonomy engineering team building software for autonomous maritime vehicles. You will develop and deploy vehicle autonomy capabilities that operate on physical hardware, helping expand what these systems can safely do.

What You'll Do

• Design, implement, and deploy production autonomy software in C++ for onboard vehicle systems.
• Develop and integrate perception, localization, state estimation, planning, navigation, decision-making, and collision or terrain avoidance algorithms.
• Integrate radar, camera, and other sensor data for situational awareness and path planning.
• Build and maintain local and global planners that use maps and sensor data to guide routes and vehicle behavior.
• Balance accuracy, robustness, computational cost, latency, and reliability on constrained onboard compute, including Nvidia Jetson platforms.
• Validate vehicle behavior using simulation, testing, telemetry, and real-world data, and build tools, often in Python, to investigate failures and improve development workflows.
• Contribute to the architecture and ongoing development of the autonomy stack.

What We're Looking For

• At least 5 years of autonomy engineering or robotics software experience, with experience operating at staff-level scope.
• A bachelor's degree and a background in robotics, autonomous systems, aerospace, or defense technology.
• Strong C++ skills and experience shipping autonomy software on physical vehicles or other hardware systems.
• Knowledge of autonomy algorithms, including computer vision, sensor fusion, localization, tracking, motion planning, path finding, controls, and decision-making under uncertainty.
• Experience with embedded systems, sensor integration, and testing and deploying software on hardware. Familiarity with ROS, Linux, simulation, GPU computing, or real-time operating systems is valuable.
• Strong troubleshooting and debugging skills, along with Python experience for development tools.
• Must be a U.S. citizen or Green Card holder and eligible to work on ITAR-controlled programs.

Compensation & Benefits

Base salary range: $210,000 to $300,000 annually. Visa sponsorship is not available.

Location

Hybrid role based in Alameda, California, United States.