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.

Manager 3, Customer Experience

Company: Intuit

Location: San Diego, CA

Posted Sep 06, 2025

Proven experience in service experience strategy, customer experience design, or related field with a focus on service delivery.

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…

Associate Project Manager

Company: Software Resources, Inc.

Location: Glendale, CA

Posted Sep 08, 2025

" Experience in coordinating creative projects in the realm of event production, graphic design, video production, and digital projects.

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…

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…

Staff Software Engineer, AI/Machine Learning

Company: PSEMI CORPORATION

Location: San Diego, CA

Posted Sep 08, 2025

As a Staff Software Engineer specializing in AI/ML, you will be entrusted with end-to-end ownership of designing, developing, and deploying state-of-the-art AI/…

WELDER (San Antonio, TX) - Austin Bridge & Road

Company: Austin Bridge & Road

Location: San Antonio, TX

Posted Sep 08, 2025

This person must be able to join metal parts, such as pipe or metal plates as specified by layout, blueprints, work orders, welding procedures or oral…

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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