We’re Cruise, the self-driving ride-hailing service.
We are building the world’s most advanced, all-electric, self-driving cars to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for many.
At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
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.
About the role:
Day-to-day responsibilities include:
- Direct oversight of engineers building scalable backend systems and data pipelines to support machine learning applications across company
- Coach and support Individual Contributor reports, and resolve conflicts both within your team, and between teams
- Conduct performance reviews, identify top performers, and support their growth into Engineering Management or Technical Leadership roles
- Help define, build, and embody Cruise engineering culture and principles
- Invest heavily in recruiting by working closely with recruiters, screening candidates, and identifying opportunities for external engagement to improve the Cruise engineering brand
- Act as a sounding board and technical architect for your teams, help define technical vision and strategy, and ensure the technical direction of your teams aligns with other teams across the company
You should apply for this role if you have the following qualifications:
- Experience managing projects across multiple teams
- Experience managing, mentoring, and coaching Senior/Staff Engineers
- Experience building and architecting large-scale, production quality backend systems, especially in applied machine learning or data pipeline/warehousing
- Self motivated and passionate to lead your teams, encourage best practices, and constantly improve
- Passionate about self-driving technology and its potential impact on the world
- BS, MS or PhD in CS, Math, or equivalent real-world experience
- 8+ years of industry experience, including 3+ years as Tech Lead or Manager
- Leadership experience in defining long-term team vision/roadmap for unknown or rapidly changing scope.
- Technical experience in
- Parallel training, active learning, model deployment, etc.
- Scalable data processing and warehousing systems, such as: Spark, BigQuery/Bigtable, Dataflow (Google Cloud), etc.
- Popular deep learning frameworks, such as: Tensorflow, Keras, PyTorch, etc.
- Modern deployment technologies (Docker and Kubernetes)
Perks of being a Cruiser
While doing meaningful work is rewarding in itself, we also offer the following programs and benefits to support the extraordinary humans who serve as the backbone in making our self-driving cars go:
- Competitive salary and benefits including 401(k) Cruise matching program to help you meet your long-term financial goals
- Medical / dental / vision, AD+D and Life
- Flexible vacation and company paid holidays
- Healthy lunch, snacks, dinner
- Paid parental leave & family expansion stipend
- Monthly gym stipend
- Quarterly offsites & working retreats
- On-site massages
- State-of-the-art equipment for your work station
Learn more about Life at Cruise through the lens of a Cruiser on our LinkedIn Page.
GM Cruise LLC provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, GM Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Pursuant to applicable laws, we will consider for employment qualified applicants with arrest and conviction records. And if you believe that you will need any type of accommodation, please let us know.