Senior / Staff Machine Learning Infra Engineer, Waabi
$158-269k
+ equity incentive awards and an annual performance bonus
AI powered self-driving technology
Job no longer available
AI powered self-driving technology
101-200 employees
Job no longer available
$158-269k
+ equity incentive awards and an annual performance bonus
101-200 employees
Company mission
To bring commercially viable self-driving technology to society.
Role
Who you are
- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience
- 5+ years of relevant industry experience
- Experience in reading and developing production quality software
- Deep understanding of Cloud compute and data storage for distributed training and inference workloads
- Familiarity with Python, GO, Rust or C++ ecosystems
- Experience working with public cloud platforms (AWS preferred)
- Experience with infrastructure as code systems (Terraform preferred)
- Experience in job scheduling and resource allocation
- Experience with containers and container orchestration (i.e., Docker, ECS, Kubernetes)
- Experience and high level of comfort working with Linux systems
- Experience with building platform services that enable other teams to do their best work
- Open-minded and collaborative team player with the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience working in an Agile/Scrum environment
Desirable
- Experience with on-premise servers, network equipment and scale-out storage systems
- Experience with CI/CD pipelines and release management
- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow)
- Understand system performance tuning at software, hardware, and network levels
- Have good understanding of GPUs and accelerators in ML training and inference use cases
What the job involves
- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale
- Collaborate with cross-functional teams in the company to understand the growing need and pain points in cloud usage
- Propose cloud strategies around compute and data usages for training and simulation workloads
- Design and implement scalable and resilient cloud infrastructure optimized for long term reliability and adaptability
- Devise and promote best practices for cloud usages in training and simulation environments, oversee cloud strategies and usages across the whole company
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Insights
81% employee growth in 12 months
Company
Company benefits
- Equity awards
- Medical, Dental and Vision coverage (for full-time employees only)
- Unlimited Vacation
- Flexible hours and Work from Home support
- Regularly scheduled team building activities and social events both on-site, off-site & virtually
- Annual performance bonus
Funding (2 rounds)
Jun 2024
$200m
SERIES B
Jun 2021
$72.4m
SERIES A
Total funding: $272.4m
Our take
Autonomous vehicle technology is rapidly developing and many sectors are recognising its value. However, whilst the self-driving industry has made significant advancements there is much more that can be done. There are challenges in this space surrounding scale and developing commercially viable self-driving technology.
Waabi hopes to tackle these challenges and be the leader in self-driving technology with their "AI first approach". The company said that combined with a closed-loop simulator, this approach will allow both common driving scenarios and safety-critical edge cases to be tested at scale - solving one of the key issues in the industry.
Waabi successfully raised one of the largest Series A rounds ever raised in Canada, and has gone on to raise fresh Volvo and Uber-led funding in early 2024. While the company's focus is currently on autonomous long-haul trucking (launching its first generation of trucks in November 2022), the company is well set to lead the next generation of self-driving technology.
Kirsty
Company Specialist at Welcome to the Jungle