Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in achieving optimal power levels while maximizing throughput.
The Software Core Performance team’s mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets.
As a performance software engineer within the Software Core Performance team, you will instrument, monitor, analyze, and optimize performance-critical algorithms. Your broad experience in developing, debugging, and optimizing software will enable AI software to run as efficiently as possible.
In this role, you will:
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Build real-time instrumentation for performance monitoring of the system as well as benchmarking frameworks to support offline performance evaluation.
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Create performance-optimization workflows (quick iteration loops) to evaluate and analyze performance at scale.
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Analyze profiling data to identify resource utilization hotspots and optimization opportunities.
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Propose and co-implement actionable solutions with software component teams.
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Support teams in helping to squeeze out the maximum performance of their code, while minimizing resource contention.
Qualifications
- 6+ years of professional experience in software development or related fields
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Hands-on experience in the development, debugging, and profiling of complex multi-process real-time systems, like game engines or robotics systems
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Strong knowledge of C++ and experience in large code bases
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Familiar with CPU system architecture and OS fundamentals
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Good communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills
Bonus Qualifications
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Experience using various Linux performance monitor tools, such as perf, eBPF, Perfetto
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Kernel and/or driver development experience
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Experience with software & hardware benchmarking and Hardware-in-the-Loop (HIL) systems
$217,000 - $307,000 a year
Base Salary Range
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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] 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. 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.
