Cutting-Edge Technologies Jobs in San Francisco, CA

260,253 open positions · Updated daily

Looking for Cutting-Edge Technologies jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technologies position in the San Francisco, CA area.

Senior Manager - Compute Hardware Design and Support

Company: General Motors

Location: Mountain View, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Art Director, GenerativeAI - Avatars

Company: Meta

Location: San Mateo, CA

Posted Feb 06, 2025

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Cellular Systems Simulations Integration Engineer

Company: Apple

Location: San Diego, CA

Posted Feb 06, 2025

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Staff Cloud Capacity Engineer

Company: ServiceNow

Location: San Diego, CA

Posted Feb 06, 2025

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Engineering Manager, Multimodal AI

Company: Meta

Location: Menlo Park, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Content Manager

Company: Meta

Location: Menlo Park, CA

Posted Feb 06, 2025

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Marketing Science Consultant, Small and Medium Business Group

Company: Meta

Location: Menlo Park, CA

Posted Feb 06, 2025

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Art Director, GenerativeAI - Avatars

Company: Meta

Location: Los Angeles, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Staff Software Engineer, Looker, Google Cloud Platform

Company: Google

Location: San Francisco, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Principal Engineer, OKX Pay

Company: OKX

Location: San Jose, CA

Posted Feb 06, 2025

Technical Leadership: Serve as a key technical influencer, driving architecture, design, and best practices across the engineering organization.

View Details Apply on SimplyHired

Data Engineering Leader, Analytics

Company: Meta

Location: San Francisco, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Manufacturing Electrical Engineer II

Company:

Location: Oxnard, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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