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

One Month AgoSaved
In-Office
San Francisco, CA, USA
100K-130K Annually
Entry level
100K-130K Annually
Entry level
Quantum Computing
Manage daily San Francisco office operations while providing proactive executive support to the co-founder and leadership team. Responsibilities include calendar and meeting coordination, domestic and international travel arrangements, vendor and facilities management, supplies and workplace services, office access, onboarding and offboarding logistics, guest visits, events, confidential information, and process improvement. The role requires strong organization, discretion, independent judgment, and a hands-on approach in a fast-growing environment.
Top Skills: Agentic Ai ToolsClaude CodeCodex
2 Months AgoSaved
In-Office
San Francisco, CA, USA
175K-235K Annually
Entry level
175K-235K Annually
Entry level
Quantum Computing
Develop and improve ASTRA-sim for modeling and simulating heterogeneous AI hardware architectures. Integrate internal estimation tools into simulation frameworks, model distributed training, inference, and reasoning workflows across GPUs, CPUs, and novel accelerators, and collaborate with internal teams and external partners.
Top Skills: Ai AcceleratorsAstra-SimC++CpusDistributed SimulationGem5GpusSystemc
Reposted 2 Months AgoSaved
In-Office
San Francisco, CA, USA
Mid level
Mid level
Quantum Computing
Research and develop quantum-accelerated AI algorithms and theory across generative modeling, probabilistic inference, optimization, and scientific machine learning. Design quantum algorithms and resource estimates, build hybrid quantum-classical workflows, prototype systems in Python/JAX/PyTorch and quantum frameworks, and collaborate with hardware teams to inform architecture and benchmarking.
Top Skills: CirqCudaCuda-QJaxPennylanePythonPyTorchQiskitTensorcircuitTriton
2 Months AgoSaved
In-Office
San Francisco, CA, USA
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Quantum Computing
Lead applied collaborations bringing quantum-native generative methods into partner domains: design benchmarks, prototype and validate proofs-of-concept, benchmark against trusted reference methods, produce reproducible evidence and resource models, and communicate technical results to partners while informing internal research directions.
Top Skills: Circuit EmulationDiffusion ModelsEnergy-Based ModelsFlow MatchingMonte CarloNormalizing FlowsOde SolversPythonQuantum ComputingQuantum-Native Generative ModelingScore-Based ModelsSde SolversSimulationTensor NetworksUncertainty Quantification
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