Staff Software Engineer, Cruise
ML Data Platform
$175.1-257.5k
Self-driving vehicles
Open for applications
Self-driving vehicles
1001+ employees
Open for applications
$175.1-257.5k
1001+ employees
Company mission
To create a better world by deploying driverless cars at scale.
Role
Who you are
- Experience building a data processing system using Beam / Spark and its ecosystems from the ground up
- Experience optimizing those data processing clusters for cost efficiency and performance
- Experience building serving systems capable of delivering data at high-throughput, low-latency and high QPS in a cost-efficient and spike-resilient manner
- Experience building full ML model lifecycle solutions - from feature engineering to training, validation, deployment and monitoring
- Experience building scalable infrastructure on the cloud with Python or Java/Scala (or similar)
- 10+ years working with big data
- BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
- Passionate about self-driving technology and its potential impact on the world
- Attention to detail and a passion for seeking truth
- A track record of efficiently solving complex problems
- Startup mentality - openness to dealing with unknown unknowns and wearing many hats
Desirable
- Demonstrable expertise in a building end-to-end data ingestion, processing and serving systems at petabyte scale from the ground up
- Proficiency in writing SQL queries for analytic purposes
- Relevant publications
What the job involves
- As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for Cruise’s ML Data Platform tools, frameworks, and services
- Responsibilities include ensuring scalable, transparent, and reliable data ingestion and management; development of fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company; and development of orchestration for large-scale post-processing, and computational pipelines
- Lead us in the development, optimization and productionization of the next generation data processing platform using Beam and Spark in the cloud
- Build self-serve capabilities to help customers to adopt the next generation data processing platform
- Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud. Champion engineering excellence by continuously improving systems and processes
- Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews and design discussions
- Consider the effects of projects across multiple teams and proactively manage conflicts. Work together with partner teams and orgs to achieve cross-organizational goals and satisfy broad requirements
- Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns
Application process
- No Application Deadline
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
Company
Funding (last 2 of 10 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 values
- Stay safe
- Stay focused
- Own it
- Seek truth
- Work together
- Be humble
- Be a customer
Company HQ
China Basin, San Francisco, CA
Articles
Leadership
Craig Glidden
(CEO (Not Founder))Is also currently the Executive Vice President of General Motors in its Legal wing.
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