Senior/Staff Software Systems Engineer - Software Health and Complexity

Job Description

Job Description

The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.

 

In this role, you will design and implement methodologies, tools, and processes for safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software engineers throughout the Zoox software org, ranging from state-of-the-art AI Autonomy software, all the way to highly-critical RTOS and middleware components.

In this role, you will:

• Develop and employ formal languages and models to describe intended software/system behaviors.
• Leverage third-party or build in-house tools to generate formal design and validation tests.
• Implement and integrate tools to verify that software/systems behave as intended.
• Integrate analysis and verification into existing processes, workflows, tools, and other infrastructure.
• Lead various systems engineering activities that are essential for a successful launch of safety-critical software on a self-driving vehicle.

Qualifications:

• Advanced degree (MS or PhD) in computer science, electrical engineering, robotics, aerospace, or related fields and 7+ years of experience. 
• Strong problem-solving, leadership, and mentoring skills in a fast-paced, safety-focused environment.
• Strong formal methods background with good understanding of logic, formal languages, automata theory, and model checking
• Experience applying modeling and analysis techniques to software systems. 
• Strong programming skills in Python and C++ in real-time safety-critical applications and programming language fundamentals, object-oriented programming, memory management, performance, etc.

Bonus Qualifications:

• Contributed to formal methods research and/or implementations.
• Shipped software products to market in production automobiles, aircraft, spacecraft, or other systems that require safety-critical software in embedded hardware.
• Experience with standards such as DO178, ISO26262, SPICE or ASPICE, ISO12207, IEC61508, EN50128, etc.

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

 

 

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on ziprecruiter.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We 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 our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.