Cutting-Edge Technology Jobs in San Francisco, CA

472,090 open positions · Updated daily

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.

Head of Strategy - Samsung Health

Company: Samsung Electronics America

Location: Mountain View, CA

Posted Jan 25, 2025

View Details Apply on The Muse

Software Engineering Manager, Product

Company: Meta

Location: Los Angeles, CA

Posted Jan 25, 2025

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Western University of Health Sciences - Student Ambassador

Company: Banfield Pet Hospital

Location: Los Angeles, CA

Posted Jan 25, 2025

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Product Designer

Company: Meta

Location: Sunnyvale, CA

Posted Jan 25, 2025

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popular global learning platform adaptive study activities valued at $1 billion

Principal Product Manager, Data Platform

Company: Quizlet

Location: San Francisco, CA

Posted Jan 25, 2025

Quizlet, a globally recognized learning platform, is seeking a Data Platform Product Manager. The role involves developing and maintaining a data platform roadmap, collaborating with cross-functional teams, and managing the end-to-end lifecycle of data platform features. The ideal candidate should have 12+ years of product management experience, a strong background in data engineering, and excellent communication skills. Quizlet offers a competitive salary, comprehensive benefits, and a commitment to diversity and inclusion.

View Details Apply on BuiltIn

Design Verification Engineer

Company: Apple

Location: San Diego, CA

Posted Jan 25, 2025

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Software Development Engineer in Test, TikTok Global E-Commerce - USDS

Company: TikTok

Location: Mountain View, CA

Posted Jan 25, 2025

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Software Engineer, iOS

Company: Meta

Location: San Francisco, CA

Posted Jan 25, 2025

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Credentialing and Enrollment Specialist

Company: Altais

Location: Oakland, CA

Posted Jan 25, 2025

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Tech Lead Senior Software Engineer, TikTok Brand Ads

Company: TikTok

Location: Los Angeles, CA

Posted Jan 25, 2025

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Software Engineer, OS Frameworks - Reality Labs

Company: Meta

Location: San Mateo, CA

Posted Jan 25, 2025

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Product Manager

Company: Meta

Location: Menlo Park, CA

Posted Jan 25, 2025

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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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