
Revolutionizing transportation with autonomous vehicle technology
Zoox, headquartered in Foster City, CA, is pioneering autonomous vehicle technology with a unique driverless ecosystem. The company has raised $1.2 billion in Series B funding and employs over 1,000 people. Its innovative vehicle design, revealed in December 2020, features independent wheels and a b...
Zoox offers work-from-home opportunities, comprehensive health insurance, and generous paid parental leave. Employees enjoy unlimited flexible paid ti...
At Zoox, the culture is centered around innovation in autonomous transportation, with a focus on safety and enjoyment. The company promotes a collabor...

Zoox • Foster City, CA
Zoox is seeking a Senior Software Engineer to enhance cost optimization and efficiency in their High-Performance Computing infrastructure. You'll work with technologies like Kubernetes, Ray.io, and SLURM to drive improvements in compute spend management. This role requires significant experience in software engineering and HPC systems.
You have 5+ years of experience in software engineering, particularly in high-performance computing (HPC) environments. Your background includes a strong understanding of cost optimization strategies and resource management, which are critical as Zoox scales its autonomous vehicle development. You are adept at modernizing HPC platforms and have experience with industry-leading technologies like Ray.io, SLURM, and Kubernetes. You thrive in collaborative environments, working closely with cross-functional teams to balance performance requirements with cost constraints.
You possess a deep technical expertise in cloud computing and are familiar with FinOps best practices. Your ability to analyze and optimize compute economics will directly impact Zoox's bottom line, making you a key player in the company's success. You are comfortable working independently and are eager to define and implement strategies that maximize resource utilization while minimizing waste.
Experience with data engineering and AI model training is a plus, as you will be supporting various software teams across Zoox. Familiarity with cost reduction techniques and a proactive approach to problem-solving will set you apart in this role. You are passionate about leveraging technology to drive efficiency and are excited about the opportunity to contribute to innovative projects in the autonomous vehicle space.
In this role, you will lead initiatives to modernize Zoox's HPC platform, focusing on maximizing utilization and reducing cloud costs. You will collaborate with stakeholders across Autonomy and Software teams to implement effective resource management strategies. Your work will involve analyzing current compute spend and identifying areas for improvement, ensuring that the HPC services support the development workflows efficiently.
You will be responsible for incorporating the latest cost optimization techniques into the HPC infrastructure, which is vital for maintaining world-class developer velocity. Your contributions will have a measurable impact on the company's financial performance, as you drive cost reductions and efficiency gains across the organization.
You will also have the opportunity to define Zoox's compute economics strategy, both technically and organizationally. This includes working closely with various teams to ensure that performance requirements are met without exceeding budget constraints. Your role will be pivotal in shaping the future of Zoox's HPC capabilities, making it an exciting time to join the team.
At Zoox, you will be part of a dynamic team that is at the forefront of autonomous vehicle technology. We offer a collaborative work environment where your ideas and contributions are valued. You will have the chance to work with cutting-edge technologies and make a significant impact on the company's success. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in redefining transportation and making a difference in the world.
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