Cutting-Edge Technology Jobs in San Francisco, CA

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

ERP Project Manager

Company: Leanteq

Location: Milpitas, CA

Posted May 27, 2025

Bachelor's degree in Business Administration, Information Technology, or a related field. Experience with data analysis and reporting tools.

CNC Production Engineer 5 years+ experience

Company: MacSmith Corporation

Location: Gardena, CA

Posted May 25, 2025

Interpret blueprints, engineering drawings, and technical specifications to ensure accurate machining. Operate several ancillary machines and tools.

Principal AI/ML Engineer - State Estimation & Map Creation, Embodied AI

Company: General Motors

Location: Mountain View, CA

Posted May 24, 2025

Role: As a Technical Lead in State Estimation within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge state…

Set Carpenter/Themed Fabrication

Company: 3RD AVE

Location: Monterey Park, CA

Posted May 25, 2025

Interpret and work from schematics, blueprints, and technical drawings to fabricate components accurately. *Tool Proficiency*: Skilled in using hand tools (saws…

Staff Software Engineer - AMR Robot Simulation

Company: General Motors

Location: Mountain View, CA

Posted May 25, 2025

Bachelor's, Master’s or Ph.D. in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field. Proficiency in Python or C++.

Journeyman Glazier

Company: ENO GLASS, INC.

Location: San Antonio, TX

Posted May 27, 2025

*Driver’s License*: A valid Driver’s license is required for traveling to various jobsites and locations. *Jobsite Upkeeping: *responsible for managing the…

Electroplating Technician

Company: Fabric8Labs

Location: San Diego, CA

Posted May 27, 2025

Strong interest and aptitude in hands-on technical and mechanical work. Collaborate with engineers and technicians to study and interpret sample parts,…

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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