Stack AV Logo

Stack AV

Full-Stack Software Engineer, Machine Learning Platform

Posted 5 Days Ago
In-Office or Remote
Hiring Remotely in IN, USA
Mid level
In-Office or Remote
Hiring Remotely in IN, USA
Mid level
Build scalable full-stack software for AV data introspection, visualization, search, and analysis. Partner with Product, Design, and Engineering stakeholders to define and deliver a roadmap, address customer workflow gaps, lead technical discussions, and promote engineering solutions. The role requires developing reliable applications for diverse data types, working with SQL and NoSQL architectures, and integrating AI techniques into front-end experiences.
The summary above was generated by AI

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.

#LI-AW1

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.

Check out our Privacy Policy.

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.

Similar Jobs

19 Minutes Ago
In-Office or Remote
35K-55K Annually
Junior
35K-55K Annually
Junior
Manufacturing
Provides inbound technical customer support for water filtration products through phone, chat, and email. Diagnoses issues, guides customers through installation, maintenance, and troubleshooting, researches solutions across multiple systems, documents interactions, and maintains service quality. The role requires clear communication, empathy, critical thinking, multitasking, and comfort learning technical product details. Preferred experience includes water treatment, plumbing, mechanical products, CRM systems, and technical troubleshooting in customer service environments.
Top Skills: Crm SystemsCustomer Support TechnologiesKnowledge BasesWater Filtration Systems
33 Minutes Ago
Easy Apply
Remote
US
Easy Apply
151K-256K Annually
Senior level
151K-256K Annually
Senior level
Artificial Intelligence • Edtech • Machine Learning • Software
Research and recommend investments across categories, asset classes, and deal types. Build market maps, analyze companies and competitive landscapes, track technology trends, source target companies, conduct diligence, and present evidence-backed recommendations to senior leadership. The role also establishes Learneo’s market intelligence function, including investment scorecards and repeatable evaluation processes.
Top Skills: Cb InsightsPitchbook
46 Minutes Ago
Remote
United States
93K-123K Annually
Mid level
93K-123K Annually
Mid level
AdTech • Artificial Intelligence • Big Data • Digital Media • eCommerce • Machine Learning • Marketing Tech
Own post-sale relationships for major brands, ensuring client satisfaction, retention, campaign performance, and account growth. Manage campaign launches, coordinate internal teams, address customer requests, maintain product expertise, and deliver performance reporting and QBR presentations. The role requires adtech or agency experience, online advertising campaign management, client-facing communication, data analysis, organization, and strong problem-solving skills.
Top Skills: AdtechDeep LearningDemand-Side Platform (Dsp)ExcelMicrosoft Powerpoint

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account