Senior / Staff Software Engineer, Waabi
Infrastructure
$141-242k
+ 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
$141-242k
+ 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
- We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting cloud systems but is also well balanced with physical equipment knowledge
- While this role will be primarily focused on cloud systems, the candidate should also be well versed in physical computing and networking with hands on experience to effectively diagnose performance issues in cloud as well as assist with vehicle and on-prem computing needs
- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience
- 5+ years of industry experience- Experience working with public cloud platforms (AWS preferred)
- Experience with infrastructure as code systems (Terraform preferred)
- Experience with configuration management (Ansible preferred) and system administration
- Familiarity with cloud security concepts, credential management, IAM systems, and data security
- Experience with containers and container orchestration (i.e., Docker, ECS, Kubernetes)
- Experience with CI/CD pipelines and release management- Experience with on-premise servers, network equipment and storage systems
- Experience in Linux kernel (performance tuning, low level debugging, hardening)
- Some experience in reading and developing production quality software
- Open-minded and collaborative team player with the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Able to travel occasionally to United States
Desirable
- Experience with Python and Bash- Familiarity with GO, Rust or C++ ecosystems
- Experience with building platform services that enable other teams to do their best work
- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow)
- Experience with automated building of OS images for deployment onto physical computers
- Experience with high performance network design and debugging
- Experience with scale-out storage systems- Experience working in an Agile/Scrum environment
- Familiarity with self-driving vehicle sensors and hardware
What the job involves
- The ideal candidate would actively improve our machine learning infrastructure, CI systems, and software delivery
- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale
- Manage machine learning infrastructure, model pipelines, training platforms, data infrastructure and ML tools
- Work on multiple projects designing, building, deploying tools, systems and infrastructure
- Collaborate with hardware team on vehicle compute and network designs
- Work with software and hardware teams on OS and software delivery into vehicles
- Assist with vehicle compute and network performance tuning and general diagnostics as needed
- Work with software and hardware teams to implement and maintain high volume data pipelines
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
Insights
81% employee growth in 12 months
Company
Funding (2 rounds)
Jun 2024
$200m
SERIES B
Jun 2021
$69.6m
SERIES A
Total funding: $269.6m
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
Company HQ
Downtown Toronto, Toronto, ON
Leadership
Raquel Urtasun
(CEO)Previously worked at Uber as Chief Scientist, Head of Uber ATG R&D. Is also a professor at the University of Toronto.
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