Staff Engineer, Cruise
Cloud Efficiency
$175.1-257.5k
Self-driving vehicles
Be an early applicant
Self-driving vehicles
1001+ employees
Be an early applicant
$175.1-257.5k
1001+ employees
Company mission
To create a better world by deploying driverless cars at scale.
Role
Who you are
- In particular, we’re looking for someone with familiarity with high performance compute clusters, scheduler logic, and resource contention tradeoff experience
- We’re looking for an engineer that has a proven ability to make logic gate tradeoffs to represent efficiency targets without going too far and is comfortable investing the team in deep understanding to find novel improvements backed by data
- Familiarity with HPC clusters, Compute Platforms
- 8+ years experience in capacity or performance engineering role
- Expert application performance experience
- Expert knowledge of various public cloud providers
- Expert with data modeling for public cloud
- Expert with budgeting and capacity planning experience
- Expert in SQL, Python, scripting, and building automation tools
- Self-disciplined and thrives in fast moving environment
- Excellent communication skills
What the job involves
- As a Staff Engineer for the Capacity and Performance Engineering (CPE) Team, you will be working on efforts to improve the scalability and efficiency of Cruise’s infrastructure
- You will need to work cross-functionally with engineering and various teams everyday to drive efficiency initiatives and develop tooling to automate this
- You will be responsible for collaborating with engineering for building scalable and efficient platforms, and optimizing our existing platforms
- Your day will involve working across teams such as AI, Product, and Infrastructure to develop the structure for cost showback and self-service analysis, leading the CPE team for cloud efficiency discovery and execution, and working on strategic projects that will shape the future of Cruise
- Provide deepest visibility to what is going on for all products: Run capacity and performance experiments to determine scaling and utilization parameters for various service tiers
- Proactively identify gaps in infrastructure efficiency and workflow efficiencies, with being a key contributor in driving proposals to results
- Partner with engineering teams, Compute/Simulation platform in particular, to conduct capacity and performance experiments to resolve potential performance bottlenecks
- Work closely with software engineers to reduce their consumption of cloud resources and improve their performance
- Work with cloud service providers to proactively negotiate and retain necessary SKUs and capabilities required for efficient scale and capacity readiness
- Work frequently with other teams to coordinate major changes to cross-system architectures, influencing upstream or downstream for the most efficient solution
- Present efficiency opportunities and project cost savings to Cruise executive team
- Design, develop and lead automation to help capacity plan for both near and long term
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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