Top Tech Jobs & Startup Jobs

Reposted 24 Days AgoSaved
In-Office
San Jose, CA, USA
164K-212K Annually
Mid level
164K-212K Annually
Mid level
Automotive
Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.
Top Skills: Ai Model ArchitecturesAi Model TrainingAWSAzureC/C++Ci/CdCloud InfrastructureDeploymentGitGitlabInference OptimizationJenkinsPythonPyTorchSoftware DesignTensorFlow
Reposted 24 Days AgoSaved
In-Office
San Jose, CA, USA
164K-225K Annually
Expert/Leader
164K-225K Annually
Expert/Leader
Automotive
Design and implement microkernel-based operating systems for autonomous vehicles. Develop low-latency network core stacks, optimize for performance and safety, and mentor team members.
Top Skills: AcrnArm AssemblyCKvmLinuxSafeosXen
Reposted 24 Days AgoSaved
In-Office
San Jose, CA, USA
164K-212K Annually
Mid level
164K-212K Annually
Mid level
Automotive
Architect technical solutions for AIOS, lead proof-of-concept developments, define AIOS evolution roadmap, and ensure high-quality implementation with engineering teams.
Top Skills: C/C++PythonPyTorchTensorFlow
Reposted 24 Days AgoSaved
In-Office
San Jose, CA, USA
185K-250K Annually
Senior level
185K-250K Annually
Senior level
Automotive
Design and implement microkernel OS and network stacks for autonomous driving vehicles, optimizing for performance, security, and safety. Mentor team members.
Top Skills: AcrnArm AssemblyArmv8CHypervisorKvmLinuxSafeosXen
Reposted 24 Days AgoSaved
In-Office
San Jose, CA, USA
143K-186K Annually
Mid level
143K-186K Annually
Mid level
Automotive
Optimize Large Language Models and multimodal models for efficient inference and deployment on heterogeneous hardware. Collaborate on integration into automotive applications.
Top Skills: C/C++GpuNpuOnnxPythonPyTorch
Reposted 24 Days AgoSaved
In-Office
San Jose, CA, USA
192K-250K Annually
Senior level
192K-250K Annually
Senior level
Automotive
Design and implement high-performance, scalable inference systems for LLMs and VLMs across cloud, edge, and hybrid platforms. Develop and optimize custom kernels for hardware accelerators (GPU/NPU/DSP), integrate tensor/model parallelism, caching, and quantization, and collaborate with system and hardware teams to deploy production-grade AI inference.
Top Skills: CC++Compiler ToolchainsCudaDspGpuNpuPyTorchTensorFlow
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