Full-Stack Software Engineer, Machine Learning Platform
Stack AV
Salary undisclosed
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Description
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
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.
Responsibilities:
- 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.
Qualifications:
- 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.
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We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
About this role
Stack AV's AI Data Infrastructure team is building the software tools that let autonomous vehicle engineers work effectively with massive, complex datasets—video, sensor data, and more. This role sits at the intersection of that mission: you'd own full-stack development of introspection and visualization tools used daily across the company, from autonomy engineers debugging models to leadership assessing safety performance. The work spans data engineering, ML infrastructure, and front-end design, so you'd need to think clearly about trade-offs across the entire stack and communicate those decisions to stakeholders in Product, Design, and Engineering.
You should have at least three years building full-stack systems that handle diverse, large-scale data. Hands-on experience with React, TypeScript, Go, and Python is expected, along with solid knowledge of SQL and NoSQL storage architectures and their serving trade-offs. The role also calls for a track record of shipping reliable, scalable solutions in fast-moving environments and the ability to integrate AI techniques into user-facing applications. Beyond technical chops, you'll need to discover gaps in existing tools, drive technical discussions to resolution, and evangelize solutions across the company to maximize impact.
This is a remote, full-time position based in Pittsburgh. Note that Stack AV operates under U.S. national security compliance requirements, which may affect hiring eligibility depending on citizenship and residency status.
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