Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.
Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.
Architect and build the engineering foundations of our long-term mapping infrastructure.
Take ownership, improve, scale, and iterate on existing data processing pipelines.
Design and implement new data processing pipelines.
Collect and monitor performance metrics.
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance.
Leverage hardware, RTOS, and Linux expertise of peer engineers to design and implement embedded application and system component architectures.
Establish development plans and help the team to execute them effectively.
Mentor peer engineers through rigorous code reviews, testing, and by leading by example to set the bar for personal delivery quality and cadence.
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. As a Ford Motor Company subsidiary, they operate independently to develop automated driving technology at the speed of a technology startup.
Build and maintain a unified C++17 library that runs seamlessly across iOS, Android, and low-power automotive embedded hardware.
Analyze and improve map-matching and dead-reckoning algorithms using real-world data from millions of vehicles.
Implement route-following features, including high-frequency route progress reporting, deviation detection, and timely instruction delivery.
Mapbox is the leading real-time location platform for a new generation of location-aware businesses, equipping organizations with the full set of tools to power navigation. They value high-performing creative individuals, believe in individuals being their whole selves at work, and emphasize an environment of teaching and learning.
Design, build, and deploy production-grade software for ML and AI inference tasks.
Own your code from design to deployment, ensuring scalability, security, and performance at every step.
Automate testing and delivery through robust unit, integration, and performance tests.
Mitek is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. They have over 7,500 organizations trusting their platform and are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands.
Help customers love Rerun, being the primary technical interface.
Run demos, build engineer-to-engineer trust, and support onboarding.
Map customer needs to product roadmap and build features based on understanding.
Rerun is building the data stack for Physical AI. They have an uncommonly talented tech team and expect everyone to take broad responsibility for what they build.
Partner with cross-functional teams to advise on product roadmap and create innovative features with our APIs
Rapidly prototype and implement new product features from ideation to production
Collaborate closely with early access developers to deliver scalable and efficient API features
Quora's mission is to grow the world's collective intelligence. They have two platforms: Quora, a global knowledge sharing platform with over 300M monthly unique visitors, and Poe, a platform for chatting and building with AI language models. They are a passionate, collaborative, and high-performing global team.
Contribute to the development of software infrastructure to support the creation of agentic systems.
Deploy and operate cloud-hosted services for use by the research community.
Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure.
The University of Chicago delivers solutions to the research community worldwide through Globus, a sustainable, non-profit unit. They develop cloud-based software for governmental, academic, and commercial organizations, emphasizing data management challenges, and house employees in downtown Chicago and remotely.
Ship full-stack features end-to-end, owning the full lifecycle from conception to production with minimal oversight.
Build and maintain the infrastructure powering Fastino's services, keeping systems reliable and performant as we scale.
Work directly with AI researchers to bring new model capabilities into the product, moving fast without sacrificing quality.
Fastino is building the next generation of LLMs, developing specialized, efficient AI. The team, with alumni from Google Research, Apple, Stanford, and Cambridge, has raised $25M and is backed by leading investors including Microsoft and Github CEO Thomas Dohmke.
Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists
Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery
Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration
KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer.
Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data.
Design, build, and optimize large‑scale ingestion and transformation pipelines capable of processing petabyte‑scale autonomous‑driving sensor data.
Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets.
Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family. They are focused solely on developing software for automated trucks to transform how the world moves freight and have a collaborative, energetic, and team-focused culture.