Full-Stack Software Engineer, Stack AV
Machine Learning Platform
Autonomous systems for the transportation industry
Be an early applicant
Autonomous systems for the transportation industry
201-500 employees
Be an early applicant
201-500 employees
Company mission
To revolutionize the transportation industry through the deployment of advanced autonomous systems.
Role
Who you are
- 3+ years of experience of driving full-stack development with large-scale diverse data (video, audio, sensor data, text, etc)
- Experience building modern full-stack solutions using React, TypeScript, Go, Python, etc. for a large number of customer teams and collaborating effectively across multi-functional teams
- Solid understanding of data storage architectures and associated serving trade-offs, including SQL and No-SQL solutions
- Proven track record of building scalable, reliable full-stack solutions in a fast-paced environment
- Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others
- Experience integrating novel AI techniques into front-end applications
What the job involves
- In the AI Data Infrastructure team, our mission is to provide trusted and useful data to efficiently power all of Autonomy development. We work hand in hand with AV engineers to provide cutting edge solutions to all their data needs, working across data engineering, ML modeling, ML infrastructure as well as data introspection & visualization domains. In particular, we provide services to ingest, process, curate, annotate, serve and visualize data for AV ML needs
- The ability to effectively search, visualize, inspect and analyze the above data is critical to StackAV product development. To achieve this mission, we invested into a suite of introspection tools used company-wide on the daily basis across a variety of customer personas - from powering daily workflows of autonomy engineers to enabling executive leaders to assess AV performance against strict safety benchmarks
- Partner with XFN stakeholders across Product, Design and Engineering to define a vision for a state-of-the art AV data introspection software, along with a pragmatic implementation roadmap that accelerates AV product development while maintaining exceptional focus on safety
- Deliver the above roadmap while setting a high bar for engineering excellence within the team
- Discover key issues in existing tools across each customer persona and proactively address those gaps
- Drive technical discussions to deliver solutions on a timely basis
- Evangelize technical solutions across the company to maximize business impact
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 on these issues, utilizing AI to build smart supply chains and autonomous driving systems.
Its founding team has long been exploring the possibilities of autonomous transport through combined experience with Uber and Google smart cars and shared founding roles at Argo AI. This similar company disbanded in 2022 after it failed to become profitable for shareholders. Hopefully, however, the launch of Stack AV will balance the founders' decades of experience and the hard lessons learnt from the failed predecessor company, opening the road to new ways to make autonomous driving tech a sustainable investment.
With a staggering $1 billion investment from 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 this high level of early funding. It’s a promising start, then for the Argo AI veterans' 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
(Co-Founder & 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
(Co-Founder & President)Previously President and Co-Founder at Argo AI, Engineering Lead at Uber and Principal Commercialization Specialist at the National Robotics Engineering Center.
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