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.

Patient Services Executive Chef 3

Company: Sodexo

Location: Los Angeles, CA

Posted Jul 20, 2025

FMS: monitoring, Audits, implementation and standardization for new menus; Implement and standardize all culinary systems and procedures for hospital;

Electrician Tech V

Company: Amentum

Location: Santa Clara, CA

Posted Jul 20, 2025

Associates degree or technical certification in Industrial Technology, Industrial Mechanical, or related technical program. Repair all plant electrical items.

High Volume Catering Sous Chef

Company: Eisenhauer's Catering and Events

Location: Sunnyvale, CA

Posted Jul 20, 2025

In this role, you will play a vital part in our kitchen operations, ensuring the highest standards of food quality and presentation while supporting our mission…

Staff Nurse-25453807

Company: County of San Diego

Location: San Diego, CA

Posted Jul 19, 2025

A valid California Class C driver's license, or the ability to arrange necessary and timely transportation for field travel, is required at time of appointment…

Retail Sales Associate

Company: Verizon

Location: San Diego, CA

Posted Jul 21, 2025

Potential to grow your customer base by placing outbound calls and sending text messages to current Verizon customers who are interested in our products and…

Senior Management Analyst (Human Resources )

Company: City of La Mesa

Location: La Mesa, CA

Posted Jul 19, 2025

Desirable Qualifications/Certifications: At least five (5) years of technical experience in the Human Resources field, and at least three years of professional…

Special Education Teacher / Education Specialist (Mild/Mod) (25-26)

Company: KIPP Public Schools Northern California

Location: San Jose, CA

Posted Jul 20, 2025

Collaborate with key stakeholders to develop measurable annual goals in students’ areas of need including academic, behavior, and social emotional.

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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