Staff Software Engineer, Stack AV
ML Platform
Autonomous systems for the transportation industry
Job no longer available
Autonomous systems for the transportation industry
201-500 employees
Job no longer available
201-500 employees
Company mission
To revolutionize the transportation industry through the deployment of advanced autonomous systems.
Role
Who you are
- Experience with both ML Platforms and building ML-based applications (bonus point if you have modeling experience)
- Experience building scalable, reliable infra at a fast-paced environment
- Ability to work across teams
- Experience building or using ML infra built for a large number of customer teams
- A deep understanding of design tradeoffs and ability to articulate those tradeoffs and work with others on getting alignment
- Experience with building ML models or ML infra in the domains of autonomous vehicles, perception, and decision making (desirable but not required)
- Experience with model training, model optimization, or large data processing pipelines
Desirable
- Knows how to push the GPU to its limit from Python to CUDA kernel level
- Built the inference or training loop for a large model (ideally with LLM flavor)
- Shipped ML products (NLP, computer vision, recommender systems, etc.) at scale to make business impact
- Knows how to build low latency / high throughput batch or stream processing pipelines
- Knows how to write (readable) high performance C++
- Prior AV experience
What the job involves
- In the ML Training and DevEx team, our mission is to provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV
- In addition, this team is responsible for the overall developer experience of ML engineers including building tools for testing, validation, and understanding models and the data used to train them
- Finally, this team is responsible for model optimization and deployment
Our take
Driver shortages, decelerating efficiency and broad safety concerns have plagued the US trucking industry for some time now. High operating costs paired with increasingly scrutinized high emissions are leading to concern over the future of the logistics and goods transport market. Stack AV’s autonomous trucking solution aims to lighten the load of these issues, using AI to create smart supply chains and autonomous driving systems.
Its founding team have long been exploring the possibilities of autonomous transport through combined experience with Uber, and Google smart cars and shared founding roles at Argo AI, a similar company that disbanded in 2022 after it failed to become profitable for shareholders. Hopefully, however, the launch of Stack AV will balance the decades of experience as well as hard lessons learnt from the failed predecessor company and will find new ways to make autonomous driving tech a sustainable investment.
With a staggering $1 billion invested in Stack AV by SoftBank in 2023, the company is well-armoured for the time being. Its main competitor is Aurora, which underwent a successful IPO in 2021 but never achieved the high level of early funding that Stack AV did. It’s a promising start then for the Argo AI veterans' new venture.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Sep 2023
$1bn
SERIES A
Total funding: $1bn
Company HQ
Downtown, Pittsburgh, PA
Leadership
Brian Salesky
(CEO)Previously CEO of Argo AI, Director of Hardware Development for self-driving cars at Google, Principal Commercialization Specialist at the National Robotics Engineering Center, and Technical Program Manager at Google.
Peter Rander
(President)Previously President and Co-Founder at Argo AI, Engineering Lead at Uber and Principal Commercialization Specialist at the National Robotics Engineering Center.
Brett Browning
(CTO)Previously CTO at Argo AI, Senior Engineering Manager at Uber Advanced Technologies Center, Co-Founder at Mine Vision Systems and a Senior Systems Scientist at Carnegie Mellon University.
Share this job
View 10 more jobs at Stack AV