Senior Software Engineer, Stack AV
Backend Infrastructure, Labeling
Autonomous systems for the transportation industry
Posted today
Autonomous systems for the transportation industry
201-500 employees
Posted today
201-500 employees
Company mission
To revolutionise the transportation industry through the deployment of advanced autonomous systems.
Role
Who you are
- Proven track record of building scalable, reliable infrastructure in a fast-paced environment
- Ability to collaborate effectively across teams
- Strong development experience with Python and SQL
- Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus
- Prior experience with ML Ops workflows is a plus
- Prior experience building and managing data platforms for multimodal ML needs is a plus
- Prior experience with agentic workflows is a plus
- Prior experience in autonomous vehicles (AV) is a plus
What the job involves
- As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel
- You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines
- Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume
- Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency
- Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments
- ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency
- API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms
- Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency
- Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions
- Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure
- Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready
- Build scalable backend services for automated QA to and AI-assisted labeling plugins
- Write high quality Python and SQL
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 scrutinised 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, utilising 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.
Brett Browning
(Co-Founder & 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.
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