Director, Software Quality & Efficiency

The Company

Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

At Outrider, you'll develop, improve upon, and ship cutting-edge software that drives next-generation freight transportation. Your work will directly contribute to autonomous systems that move millions of tons of freight across shipping & logistics centers, revolutionizing the way goods are transported globally. Over time, your contributions will enhance efficiency, safety, precision, and sustainability across the supply chain. Throughout your time at Outrider, you'll collaborate across teams and functions to build and maintain robust systems that keep the global economy moving.

The Role

The Director of Software Quality & Efficiency will report to the Vice President of Software Engineering and will be responsible for ensuring that Outrider develops high quality software.

This position requires a deep background in autonomous vehicles and/or robotic systems technologies, an ability to quickly analyze behavior and performance of complex systems and formulate next steps, and an eagerness to work in a rapidly-changing environment and prioritize efforts.

Duties and Responsibilities

• Lead and manage the integration, simulation, and DevOps/DevEx teams
• Spearhead the integration of the Outrider AV System
• Take charge of test-fix cycles, encompassing the creation of candidate builds, testing and analysis, issue triage, presentation of findings, and recommendations
• Collaborate across multiple teams including hardware, software, system safety, test operations, and test engineering
• Improve system integration processes, incorporating automation, to optimize the use of testing and customer deployment data and maximize efficiency
• Analyze and interpret system performance data to identify insights and drive effective improvements
• Develop and utilize simulation and offline testing to accelerate development and uncover quality issues
• Develop and maintain continuous integration and continuous deployment processes
• Champion the adoption of tools and infrastructure across all areas through  an excellent developer experience

Required Qualifications

• Master's Degree in robotics, computer science, software engineering, electrical engineering, or a related discipline
• 10+ years of industry experience in developing enabling technologies for robotic systems
• Demonstrated experience developing software complex software systems
• Successful track record in full-lifecycle software development
• Demonstrated pedigree of troubleshooting large, complex systems composed of hardware and software
• Comfort with collaboratively working with multiple teams (e.g., software, hardware, systems, functional safety, test) to identify, understand, and resolve system issues
• Ability to develop, troubleshoot, and review C and C++ source code
• Experience with Jira, Git, Gitlab, or similar tools
• Excellent written and verbal communications; ability to explain complex concepts to colleagues across disciplines

Compensation & Benefits

• Salary: $180,000 - $250,000
• Equity: Significant equity package commensurate on experience and skills
• Benefits: Full health benefits
• Fully remote, with exciting opportunities to travel to our Denver headquarters for team collaborations and special events.
• Home office stipend up to $500 to help you create a comfortable and productive workspace.
• Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor