Senior Full Stack Software Engineer, Cruise
ML Data Platform
$130.9-192.5k
Self-driving vehicles
Job no longer available
Self-driving vehicles
1001+ employees
Job no longer available
$130.9-192.5k
1001+ employees
Company mission
To create a better world by deploying driverless cars at scale.
Role
Who you are
- Passion for self-driving technology and its impact
- Drive for learning new technologies and expanding technical skill set
- Experience and proficiency shipping products end-to-end
- Technical communication/collaboration skills: technical writing
- Demonstrated ability to empathize with customer problems and deliver creative product solutions
- BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
- 4+ years building web applications
- Experience writing high quality, scalable and performant code in TypeScript, React, Redux, WebGL (or similar)
- Experience writing production quality code in Golang or Python (or similar)
- Experience with A/B testing frameworks and telemetry systems
- Experience working with web interfaces using large amounts of data using Service Workers, Cache Storage, IndexedDB (or similar)
- Strong understanding relational databases, data modeling, and API definition
- Strong computer science fundamentals in object oriented programming, data structures, algorithm design, best practices, and complexity analysis
Desirable
- Experience building data visualization products and supporting libraries such as three.js, d3, WebGL
- Experience working on computer vision, machine learning or related projects from ideation to completion
- Experience working on projects using data centric AI, active learning techniques
- Experience with autonomous vehicle technology
- Experience building tools that are core to a machine learning engineer’s daily work
- Experience working closely with product managers, designers, and user experience researchers
- Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. PostgreSQL, BigQuery, BigTable)
- Experience deploying on the cloud with Kubernetes (or similar), experience with Google Cloud, AWS, Azure, or similar
What the job involves
- The ML Data Shop team is responsible for building the data platform for Cruise AI, where we build the platform to efficiently search for long tail and impactful on-road scenarios to improve our autonomous vehicles
- Our work powers data discovery, labeling and featurization that can reliably scale to serve the petabyte-scale data requirements of Perception and Behavior models
- Engineers on this team support self-serving data mining, featurization and labeling platforms which serve as a critical drive to improve the AV stack performance
- The ML Data Shop team is looking for a Senior Full-Stack Software Engineer to design and implement platforms that support data labeling to accelerate the AV model development
- Use the latest web technologies to design, implement, and test scalable and performant data systems and interfaces. Champion engineering excellence by continuously improving systems and processes
- Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency
- Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems
- Own technical projects from start to finish. Effectively participate in team’s planning, code reviews and design discussions
- Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements
Our take
The taxi industry has seen dramatic changes through mobile vehicle-hailing apps such as Uber, but these services focus simply on ease-of-access to regular taxi services. The automotive industry has seen a vast range of innovations in recent years such as electric cars and self-driving capability, features that are currently not found in existing services.
Cruise brings self-driving autonomy and electric cars together into a taxi-hailing mobile application. In addition to these innovations, the service focuses on efficiency through ride-sharing as opposed to each ride providing a single trip. Whilst other taxi-hailing services will inevitably turn to electric self-driving vehicles, Cruise shows potential to stand out through its AI-fuelled focus on carpooling and fleet efficiency.
Cruise, which has been acquired by General Motors, has received an inordinate amount of funding, including from Honda and Microsoft, with Softbank investing over $2B to scale its technology. A sum of this came after Cruise launched a limited driverless robotaxi service to the public in San Francisco. However, the company is now facing lawsuits from the city to limit its operations there after a series of accidents involving Cruise's vehicles.
Freddie
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
Jun 2024
$850m
LATE VC
Feb 2022
$1.3bn
GROWTH EQUITY VC
Total funding: $9.1bn
Company benefits
- Medical / dental / vision, AD+D and life insurance
- Subsidized mental health benefits
- One Medical membership
- Flexible Spending Account
- Monthly wellness stipend
- 401(k) match
- Paid time off: vacation, sick, public health emergency, jury duty, bereavement and company holidays
- Paid parental, family care and medical leave
- Family care benefits: fertility benefits, Dependent Care Flexible Spending Account (subsidized by Cruise)
- Non-remote employees: Pre-tax Commuter Benefit Plan, healthy meals and snacks
- CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office time
Company HQ
China Basin, San Francisco, CA
Leadership
Craig Glidden
(CEO (Not Founder))Is also currently the Executive Vice President of General Motors in its Legal wing.
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