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.
Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
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, join us.
The AV software stack heavily relies on machine learning techniques to perform a variety of tasks, each with different requirements of hardware/compute resources. Throughout the life-cycle of each machine learning model, skilled ML engineers (on both training and inference sides) work closely to prepare it for a robust, scalable, and compute/power efficient inferencing on a resource-constrained hardware accelerator. Such a close working relationship is key to a fast and successful deployment of intelligent systems on the car.
Cruise is looking for SML optimization engineers to help us invest in tools to architecturally optimize deep learning models for efficient inference. These optimizations are designed to reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy.
In this role, you will collaborate closely with engineers from different AV Engineering teams (e.g. Computer Vision, Perception, platform) to scope out system/software requirements while working with AV hardware to understand architectural optimization opportunities that are specific to the target hardware platform and its constraints. If you are interested in solving some of the most exciting machine learning optimization problems in the industry, then chat with us!
What you’ll be doing:
- Define and lead the team’s technical vision and roadmap for DL architecture optimizations
- Research, prototype and survey different ML architecture and workflow optimization techniques (e.g., Neural Architecture Search, auto-ML) and algorithms that are the current state-of-art.
- Develop proof-of-concepts of customized optimizations that demonstrate the benefit of your optimizations on real-world models using real-world datasets.
- Seamlessly incorporate model optimization into existing model training and post-training phases of the Cruise AI workflow
- A main driver for scientific and engineering excellence, setting standard and best practices along with mechanisms for their teams to follow.
- Contribute to strategic hiring across the company. Able to become a Bar Raiser continuously raising the hiring bar for Cruise.
- Provide mentorship and leverage the team’s fullest potential to achieve ambitious technical goals.
- Collaborate with cross functional agile teams of AV engineers
- Facilitate building and deployment of production software at the highest levels of quality and performance
What you must have:
- MS, or higher degree in CS/CE/EE, or equivalent, in industry experience
- 7+ years of experience in numerical optimization of compute graphs
- 3+ years of experience in neural architecture search (NAS), or auto-ML
- 3+ years of software engineering experience in developing high-quality production software
- Strong expertise with DL frameworks like Tensorflow, PyTorch etc.
- Strong programming skills in Python with an emphasis on data structures and algorithms.
- Strong expertise with software development lifecycle - coding, debugging, optimization, testing, integration
- Strong communication and behavioral skills
- Experience in any of the following areas: Autonomous driving technology, Computer vision: 3D object detection, segmentation, Algorithmic complexity, deep learning performance analysis and profiling, distributed computing, AI accelerators, GPU’s
- Experience in working with cloud platforms
- Our benefits are here to support the whole you:
- Competitive salary and benefits
- 401(k) Cruise matching program
- Medical / dental / vision, AD+D and Life
- One Medical membership
- Flexible vacation and company paid holidays
- Healthy meals and snacks provided for non-remote employees
- Paid parental leave
- Fertility Benefits
- Dependent Care Flexible Spending Account, subsidized by Cruise
- Flexible Spending Account
- Monthly wellness stipend
- Pre-tax Commuter Benefit Plan for non-remote employees
- We’re Integrated
- Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
- We’re Funded
- GM, Honda, Microsoft, SoftBank, & T. Rowe Price, have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.
- We’re Independent
- We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
- We’re Vested
- You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow.
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, ethnicity, national origin or ancestry, 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 HR@getcruise.com.
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.
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.