Top Tech Jobs & Startup Jobs

Design, build, and operate large-scale ML training and evaluation infrastructure for RL/AI research. Enable distributed, cost-aware GPU training, benchmarking, data curation, and continuous evaluation; collaborate with research and platform teams to productionize models.

Conduct research on humanoid and general robotics hardware and human data collection, build and utilize large-scale and deformable-object simulation for RL training, and develop human data processing methods including retargeting, pose estimation, and SLAM. Collaborate with research scientists and engineers to produce high-quality publications for top-tier conferences.

Build and maintain Android/Android Automotive OS middleware from front-end to HAL. Collaborate across application, middleware, and hardware layers to design, implement, and ship platform features and tools for vehicle software at scale.

Design, develop, and integrate real-time AI/ML sensor algorithms and sensor-control software for heterogeneous autonomous platforms. Deploy containerized solutions to embedded Linux devices, perform computer-in-the-loop testing and profiling, support DoD field demonstrations, collaborate with tracking and autonomy teams, and drive simulation-based analysis and integration improvements.

Validate automotive-grade PCBs through board-level testing, characterize performance with lab equipment, automate test routines, interpret OEM protocols, document results, and collaborate with design and software teams to support bring-up and root cause analysis.

Design and implement C++11+ software across the full stack, infrastructure, robotics, and graphics for autonomy products. Own technical and product decisions, write design documents, mentor engineers, and collaborate with domain experts to build tools and features for customers' autonomy workflows.

Design and implement scalable, secure Over-the-Air update platforms in C++ and Go. Build cloud-native infrastructure, package management, CDNs/PDNs, secure delivery pipelines (cryptographic signing, encrypted channels), containerized deployment, monitoring and analytics, and support large-scale device fleets across embedded Linux and RTOS devices.

Own and run a Detroit-based, customer-facing vehicle software program: define milestones, manage risks and dependencies, coordinate cross-functional engineering delivery, run governance cadence, report KPIs, and integrate Applied's product into the customer's vehicle program.

Build scalable telematics backend systems and data pipelines to ingest, process, and analyze high-volume real-time telemetry from millions of devices. Design microservices, cloud storage, D2D communication, and integrate analytics/ML for predictive maintenance and fleet insights. Collaborate cross-functionally to deliver production-grade, high-availability telematics solutions.

Design, build, and scale open-source data infrastructure across collection, ingestion, storage, querying, and retrieval. Improve ingestion pipelines, expose performant query interfaces and integration hooks, and deploy reliable data platform features across cloud, hybrid, and on‑prem environments.