Innovative Technology Jobs in San Francisco, CA

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

CNC Operator -1st Shift

Company: 5TH Axis Inc

Location: San Diego, CA

Posted Sep 05, 2025

Reliability and ability to listen and follow instruction. 401K with up to 4% matching. Ability to read blueprints and highly proficient at dimensioning/…

Data Systems Analyst 3

Company: UC San Diego

Location: San Diego, CA

Posted Sep 06, 2025

CAIDA investigates both practical and theoretical aspects of the Internet, with particular focus on topics that are macroscopic in nature and provide enhanced…

English Teacher

Company: Desert Sands Public Charter School

Location: Los Angeles, CA

Posted Sep 06, 2025

Model and guide students to develop strategies that foster independent learning skills such as, goal-setting, time management, and accessing/utilizing resources…

5th Grade Math Teacher

Company: School of Science & Technology

Location: San Antonio, TX

Posted Sep 05, 2025

Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone.

Custodian

Company: Rhee Bros, Inc

Location: Irwindale, CA

Posted Sep 05, 2025

Ability to operate and maintain cleaning equipment (e.g., vacuums, floor buffers). General Cleaning: Sweeping, mopping, vacuuming floors; dusting and polishing…

Welder

Company: Hydraulics International, Inc.

Location: Chatsworth, CA

Posted Sep 06, 2025

Cultivate a strong rapport and working relationships with key engineering and manufacturing staff and demonstrate effective cross-functional collaboration with…

3rd Shift Building Engineer

Company: HVAC Recruitment

Location: Fremont, CA

Posted Sep 05, 2025

Training or certification in HVAC, Electrical, or Plumbing. The ideal candidate will be comfortable with HVAC systems, building automation, and general MEP…

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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