Latitude AI: Developing automated driving technology for next-generation Ford vehicles.
4+ YOEBachelor's degree plus 4+ years (or Master's+2/PhD), expertise in modern C++ (C++17), 3+ years building parsers, strong communication and software engineering practices.
BAE Systems OneArcLondon Stock Exchange: BA: Provides advanced defense simulation, training, and modeling technology.
5+ YOEBachelor's in CS or related,5+ years' backend development with Golang/C++ or similar,experience with RESTful APIs,Kubernetes,cloud and realtime simulation systems,strong communication and design skills.
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
3+ YOEBachelors in engineering and 3+ years in automotive/robotics or related industry; experience in systems verification & validation, autonomous vehicle stack, simulation, and strong software skills (Python, C++, Rust).
Burns Engineering: Provides professional engineering design and infrastructure consulting services.
2+ YOEBachelor's degree in electrical, computer or software engineering, or computer science; 2-5 years in software development for automation or laboratory simulators; experience with JavaScript/React, Python, MySQL, Postgres; knowledge of TCP/IP and UDP protocols.
Principal Engineer Tech Lead, Embodied AI & Off-Board Performance Evaluation
Boston or Las Vegas or Pittsburgh or United States
$200k-$275k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
10+ YOE10+ years in software/AI/AV systems, Bachelor's in CS/Engineering/Robotics, expertise with LLMs/VLMs, Python, AV performance metrics, vector DBs, simulation and scalable data pipelines.
SynopsysNasdaq: SNPS: Provides software and IP for semiconductor design and manufacturing.
3+ YOEPhD (or MS+3 yrs or BS+5 yrs) in math, CS, CE, ME or related; experience with iterative solvers, HPC, GPU programming, C/C++/Fortran, numerical linear algebra and industrial simulation software development.
Efficient Computer: Developing ultra-low-power general-purpose processors for edge AI computing.
Hands-on software development with hardware, exposure to RISC/DSP/GPU platforms, CUDA/HIP, C/C++, familiarity with PTX/LLVM IR/MLIR, HW simulation experience, domain expertise in ML/signal/video/audio/robotics, and a minimum Master's in a technical field.