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.

Staff Software Engineer, Machine Learning Runtime, Google Cloud

Company: Google

Location: Sunnyvale, CA

Posted Jan 24, 2025

Google is seeking a software engineer with extensive experience in software development, testing, and design, particularly in ML infrastructure and specialization. The ideal candidate will have a Master's or PhD in a related technical field, and 3 years of experience in technical leadership roles. The role involves providing technical leadership on high-impact projects, managing priorities and deliverables, and leading the design and implementation of ML solutions. The compensation package includes a base salary ranging from $189,000 to $284,000, plus bonus, equity, and benefits.

Courtesy Clerk/Grocery Bagger

Company: Kroger

Location: San Clemente, CA

Posted Jan 24, 2025

Panel Process and Integration Engineer

Company: Apple

Location: Cupertino, CA

Posted Jan 24, 2025

Solution Sales Executive

Company: ServiceNow

Location: San Francisco, CA / Remote

Posted Jan 24, 2025

Manager Manufacturing Systems Engineering 2

Company: Northrop Grumman

Location: Palmdale, CA

Posted Jan 24, 2025

Northrop Grumman is seeking a Manager Manufacturing Systems Engineer 2 for a leadership role in Palmdale, CA. The role involves defining, developing, and implementing new technology solutions to enhance manufacturing efficiency, reduce costs, and improve quality. Key responsibilities include manufacturing concept and process solutions for production applications, extensive Contract Research & Development (CRAD) activities, and working with Global Supply Chain. The ideal candidate should have a Bachelor's or Master's degree in STEM, 6-8 years of related experience, and 2-3 years of management/leadership experience. Northrop Grumman offers flexible work arrangements, learning opportunities, and a friendly team environment. The salary range is $156,500 - $234,700.

Data Science Manager, WhatsApp AI

Company: Meta

Location: Menlo Park, CA

Posted Jan 24, 2025

WhatsApp AI is seeking an experienced Data Science Manager to lead its AI team. The role involves understanding industry trends and AI features on WhatsApp, shaping strategy for product-market fit with new AI use cases, establishing data foundations, and driving growth of AI features. The manager will work with a large cross-functional team to deliver long-term impact, partnering with Meta leadership. The ideal candidate should have a quantitative degree, 7+ years of experience in applied quantitative fields, and experience managing analytics teams. They should also have a proven track record in leading high-performing teams and experience in cross-functional partnerships.

Customer Success Manager

Company: Apple

Location: Sunnyvale, CA

Posted Jan 24, 2025

SoC DFT DV Engineer

Company: Apple

Location: Cupertino, CA

Posted Jan 24, 2025

Customer Engineer III, High Performance Computing, BioTech, Cloud

Company: Google

Location: Sunnyvale, CA

Posted Jan 24, 2025

Google Cloud is seeking a High Performance Computing (HPC) Customer Engineer with extensive experience in cloud native architecture, HPC, and the BioTech industry. The role involves partnering with technical sales teams, understanding customer requirements, and developing creative cloud solutions. The successful candidate will engage with customers, present practical solutions on Google Cloud, and assist in problem-solving key technical issues. The position offers a competitive salary range of $159,000-$239,000 + bonus + equity + benefits, and the opportunity to work in a diverse, inclusive environment. Responsibilities include identifying business opportunities, developing migration paths, and leading workshops for strategic customers.

Frequently Asked Questions

What are typical salary ranges for cutting‑edge tech roles at different seniority levels?
Entry‑level Machine‑Learning Engineers in the U.S. earn $95k–$115k, mid‑level $120k–$150k, senior $160k–$190k, lead $190k–$225k, and principal or staff roles $225k–$280k or more. Quantum developers start at $110k–$140k, climbing to $200k+ for lead quantum architects. Robotics specialists follow a similar trajectory, with senior roles reaching $170k–$210k.
What core skills and certifications are most valuable in cutting‑edge tech positions?
Key technical proficiencies include Python, PyTorch/TensorFlow, CUDA for GPU acceleration, Qiskit or Cirq for quantum programming, ROS for robotics, and Solidity for blockchain development. Certifications that boost credibility are TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Kubernetes Administrator for edge deployments.
Are cutting‑edge tech roles available for remote work?
Yes. Major cloud‑based AI firms, quantum‑software startups, and autonomous‑vehicle companies offer fully remote or hybrid arrangements, especially for roles that rely on cloud labs or simulation environments. Remote teams often use GitHub, Slack, and cloud‑native CI/CD pipelines to maintain collaboration.
What are common career progression paths in cutting‑edge tech?
Typical ladders move from Junior Engineer → Engineer → Senior Engineer → Staff Engineer → Principal Engineer → Director of Engineering. Parallel tracks include Technical Fellow, AI Research Scientist, Product Manager for AI/Quantum, or VP of Engineering, each requiring deeper domain expertise, leadership, and strategic vision.
What major trends are shaping the cutting‑edge tech industry?
Current trends include AI democratization through open‑source frameworks, quantum hardware approaching practical supremacy, edge‑AI scaling via 5G and low‑power inference chips, autonomous‑vehicle regulatory evolution, and enterprise blockchain adoption for supply‑chain transparency. These shifts drive new job categories and demand for specialists in security, compliance, and interdisciplinary integration.

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