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.

Residential Service Plumber

Company: Radiant Plumbing and Air Conditioning

Location: San Antonio, TX

Posted Jun 23, 2025

Valid driver's license with no major violations within the last 3 years. Experience with plumbing repair including: leak location, tankless water heaters, water…

CNC Swiss Screw Machinist (2nd Shift)

Company: ITT Cannon LLC

Location: El Cajon, CA

Posted Jun 22, 2025

High School diploma or GED required; technical training or certification preferred. Ability to read and interpret blueprints and technical drawings.

Graphic Production Designer, Apple Ads Marketing

Company: Apple

Location: Cupertino, CA

Posted Jun 22, 2025

Translate initial design concepts into polished, high-quality deliverables that meet technical specifications and brand guidelines -Produce final production-…

Hedge Fund Sales Associate

Company: Confidential

Location: Los Angeles, CA

Posted Jun 23, 2025

Bachelor’s in Finance, Business, Economics or related field. Partner with leadership to design and refine outbound sales strategy. What We’re Looking For*.

Business Intelligence Analyst (Mid-level) - AML (Business Objects)

Company: USAA

Location: San Antonio, TX

Posted Jun 23, 2025

OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or…

Project Superintendent

Company: AvalonBay Communities

Location: San Diego, CA

Posted Jun 23, 2025

Technical knowledge of major construction components (building, civil engineering, infrastructure, concrete, framing, and structural design).

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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