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.

(USA) Coach/Ops Mgr Trainee

Company: Walmart

Location: Ontario, CA

Posted Jan 30, 2025

Channel Practice Development Lead, Rovo AI

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 30, 2025

Cyber Systems Operations

Company:

Location: La Quinta, CA

Posted Jan 30, 2025

Cyber Systems Operations

Company:

Location: Atascadero, CA

Posted Jan 30, 2025

Senior Accountant

Company: Xsolla

Location: Los Angeles, CA

Posted Jan 30, 2025

Xsolla, a leading global ecommerce company in the gaming industry, is seeking an experienced Senior Accountant. The role involves preparing financial reports, supporting audits, and defining internal controls. The ideal candidate should have a Bachelor's degree in Finance or Accounting, CPA, and 4+ years of experience. Xsolla offers a comprehensive benefits program, promotes personal and professional development, and fosters a collaborative global environment.

Senior Software Engineer - Full Stack

Company: Bright Machines

Location: San Francisco, CA

Posted Jan 30, 2025

Bright Machines is seeking a Senior Full Stack Software Engineer to join their team in San Francisco. The role involves designing, developing, and deploying software components for their microfactories, which use intelligent automation to transform the manufacturing industry. The ideal candidate should have a degree in Computer Science, Engineering, Mathematics, or a related field, and at least 5 years of experience as a Software Engineer. Proficiency in modern programming languages, understanding of Service Oriented Architecture, and experience with hardware systems are required. The role offers the opportunity to work on a greenfield development effort that will change the way companies build and produce products.

Cyber Systems Operations

Company:

Location: Santa Clara, CA

Posted Jan 30, 2025

Cyber Systems Operations

Company:

Location: Hanford, CA

Posted Jan 30, 2025

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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