Cutting-Edge Technologies Jobs in San Francisco, CA

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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.

U100 FACILITY CARPENTER/MAINT

Company: Northrop Grumman

Location: Sunnyvale, CA

Posted Apr 07, 2025

Coordinate with management to develop rough estimates for demolition, construction, refurbishment or tenant remodeling projects, including generic bills of…

Orbital Tube Welder (Fluid Systems)

Company: SpaceX

Location: Hawthorne, CA

Posted Apr 03, 2025

1+ year of welding, machining or manufacturing experience OR certificate from an accredited trade skills program in A&P, manufacturing, welding, and/or…

Framer/Carpenter

Company: SR Freeman

Location: Campbell, CA

Posted Apr 04, 2025

Must have a valid and current California Driver’s license and be insurable. Uses and maintains equipment and hand tools both his own and those assigned to the…

AI Engineer

Company: Capsule

Location: Los Angeles, CA

Posted Apr 08, 2025

In this role, you will work closely with our founders and product and engineering teams to design, implement, and deploy ML models that power new and improved…

Cloud Solutions Architect (Delivery)

Company: Mission

Location: Los Angeles, CA

Posted Apr 04, 2025

Our Cloud Solution Architects are responsible for holding regular consulting sessions to build a roadmap for further optimization, automation, and resiliency…

Data Scientist

Company: Victory Capital Management

Location: San Antonio, TX

Posted Apr 04, 2025

You will collaborate with the broader team to implement machine learning algorithms that support our business units, design data experiments, and develop…

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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