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.

HVAC Install

Company: My Favorite Service Company

Location: San Antonio, TX

Posted Apr 26, 2025

Proven experience in HVAC installation or a related field. Click apply and answer a few Who, What, When questions. Are you tired of feeling unnoticed at work?

CorpIT Engineer IV

Company: Consensus Cloud Solutions

Location: Los Angeles, CA

Posted Apr 28, 2025

Vendor management, inventory control, maintenance coordination, logistics, and license management. The CorpIT Engineer IV is responsible for the design,…

U103 Machinist Entry

Company: Northrop Grumman

Location: Sunnyvale, CA

Posted Apr 28, 2025

Manual and CNC/DNC horizontal/vertical milling, boring, drilling, broaching, and turning machines, layout machine and table, tracer attachments, indexing tables…

Senior Software Engineer - Audience Targeting

Company: Disney Entertainment and ESPN Product & Technology

Location: Santa Monica, CA

Posted Apr 29, 2025

Chip in ground-breaking innovation and apply the state-of-the-art technologies. Build components of large-scale data platform for real-time and batch processing…

Data Scientist Principal – Bank AI/ML

Company: USAA

Location: San Antonio, TX

Posted Apr 28, 2025

Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data…

Senior Data Scientist

Company: HAYA Therapeutics SA

Location: San Diego, CA

Posted Apr 28, 2025

Hands-on experience with state-of-the-art computational approaches for single-cell analysis, including ambient RNA correction, cell-type/subtype identification,…

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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