Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Reposted YesterdaySaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Expert/Leader
110K-270K Annually
Expert/Leader
Hardware • Machine Learning • Software
The Director/Sr Program Manager will oversee the program management of AI acceleration chips, ensuring timely software releases and compliance with safety standards. This role involves collaboration with cross-functional teams and customer advocacy.
Top Skills: Ai Acceleration ChipsEmbedded SystemsGithub IssuesHardwareIreeJaxJIRALlvmMlirOnnxPyTorchQuality CenterSoftwareTensorFlowTvm
3 Days AgoSaved
In-Office
Burlingame, CA, USA
120K-160K Annually
Entry level
120K-160K Annually
Entry level
Hardware • Machine Learning • Software
As a Deep Learning Compiler Engineer, you will own compiler passes, debug compilation issues, collaborate with teams, and improve compiler performance for edge devices.
Top Skills: C++Python
Reposted 3 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Senior level
110K-270K Annually
Senior level
Hardware • Machine Learning • Software
Lead the quality assurance for AI software, defining test strategies, managing a team, ensuring compliance with safety standards, and utilizing automated testing tools.
Top Skills: AIC++Ci/CdGitJIRALlvmPython
Reposted 3 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Senior level
110K-270K Annually
Senior level
Hardware • Machine Learning • Software
Lead end-to-end ISO 26262 functional safety certification for Quadric's NPU software stack, ensuring compiler (TVM/LLVM) and SDK compliance, defining safety processes, producing safety artifacts, qualifying tools, and supporting OEM/Tier-1 customers.
Top Skills: AspiceAutosarBare-Metal RuntimesCC++DriversFirmwareGitIso 21434Iso 26262JIRALlvmMisra-CMlirNpuOpenxlaTvm
4 Days AgoSaved
In-Office
Burlingame, CA, USA
120K-160K Annually
Entry level
120K-160K Annually
Entry level
Hardware • Machine Learning • Software
The AI Kernel Engineer role involves developing AI kernels and operators, optimizing performance for different hardware configurations, and analyzing kernel performance to enhance efficiency on the Quadric platform.
Top Skills: C++CudaDspNeonPythonTriton-Lang
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Reposted 5 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Senior level
110K-270K Annually
Senior level
Hardware • Machine Learning • Software
As a Senior Deep Learning Compiler Engineer, you will optimize neural networks and develop algorithms for Quadric’s architecture, focusing on performance enhancement through advanced mathematical and algorithmic techniques.
Top Skills: C++Tvm
Reposted 5 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Mid level
110K-270K Annually
Mid level
Hardware • Machine Learning • Software
The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.
Top Skills: DockerLinuxPythonPyTorchTensorFlowTensorflow-LiteUnix
Reposted 5 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Senior level
110K-270K Annually
Senior level
Hardware • Machine Learning • Software
As a Senior Hardware Engineer, you will define processor architecture, implement microarchitecture in SystemC/SystemVerilog, and optimize PPA across design cycles.
Top Skills: HdlSystemcSystemverilogVerilog
Reposted 5 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Senior level
110K-270K Annually
Senior level
Hardware • Machine Learning • Software
The role involves architecting and developing test benches for GPNPU processors, collaborating on verification plans, implementing testbenches, and tracking verification progress using metrics.
Top Skills: C++PythonUvm
Reposted 5 Days AgoSaved
In-Office
Burlingame, CA, USA
110K-270K Annually
Senior level
110K-270K Annually
Senior level
Hardware • Machine Learning • Software
The Full-Stack Engineer will implement features for a web platform, provide support, create documentation, and troubleshoot issues. Requires deep technical skills in building complex systems.
Top Skills: CSS3DockerGoHTML5JavaScriptLinuxPostgresReactRedisUnix
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