Posted:
10/13/2024, 3:34:34 PM
Location(s):
San Francisco, California, United States ⋅ California, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
Workplace Type:
Remote
Pay:
$165/hr or $343,200 total comp
We're Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.
Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.
The ML Compute Platform is part of Cruise’s Infra org and owns cloud-agnostic, reliable, and cost-efficient compute backend for the specific needs of Cruise AI. We enable high agility for building new features, supporting innovation, and optimizing for prioritized use cases that are relevant to Cruise AI/ML today, and in the future. This team is tasked with ensuring the reliable training and deployment of SOTA ML models and associated workloads, prioritizing high performance, concurrency, availability, and scalability. We emphasize enhancing efficiency in both ML training and deploying cutting-edge foundational models, along with maximizing the utilization of powerful GPUs such as H100, A100 and more. Our team objectives revolve around reliability, cost-effectiveness, scalability, and velocity.
We are looking for an ML Systems Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with our scientists, they will ensure efficient model training and seamless integration into our production environment, ultimately ensuring the safe and continuous operation of Cruise and our fleet of autonomous vehicles. The ideal candidate will have experience building and running scalable distributed machine learning platforms, will bring innovative ideas and approaches, should have intellectual curiosity, strong problem-solving skills, and a bias towards action.
If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us!
Design core platform backend software components
Experience cloud platforms like GCP, Azure
Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa
Analyze and improve efficiency, scalability, and stability of various system resources
Proactively identify, drive and design large initiatives across Cruise ML workflows
3+ years of industry experience
Expertise in either Go, C++, Python or other relevant coding languages
Strong background with kubernetes at scale
Relevant experience building large-scale with distributed systems
Experience leading and driving large scale initiatives
Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services
It's Preferred If You Have
Hands-on experience in ML platforms
Experience with GPU/TPU optimizations
Experience with training frameworks like PyTorch, TorchX
Experience with Ray framework
Leadership/active participation in the open source community
Experience infrastructure applications or similar experience
The salary range for this position is $152,000 - $223,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.
Our benefits are here to support the whole you:
Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives. Know Your Rights: Workplace Discrimination is Illegal
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.
No Application Deadline
Website: https://www.getcruise.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 1001-5000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Secondary Market
Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation