Cutting-Edge Technologies Jobs in San Francisco, CA

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

Monitoring and Testing Program Manager

Company: Meta

Location: Menlo Park, CA

Posted Jan 23, 2025

PHY RTL Design Engineer

Company: Apple

Location: Sunnyvale, CA

Posted Jan 23, 2025

In-Store Advertising Product Manager, Shopping (Remote - Eligible)

Company: Capital One

Location: San Francisco, CA / Remote

Posted Jan 23, 2025

Capital One Shopping is seeking a Product Manager with expertise in data-driven product development. The ideal candidate should have a strong background in SQL, Big Data, and Native UI's, and be comfortable leading teams of software and data engineers. They should possess a customer-centric mindset, strategic thinking, and excellent communication skills. The role involves designing and delivering data platform features, understanding enterprise data requirements, and pushing for user-centric product development. Basic qualifications include a Bachelor's Degree, at least 3 years of digital product management experience, and proficiency in SQL.

Sr. Director/General Manager, Site

Company: Thermo Fisher Scientific

Location: San Francisco, CA

Posted Jan 23, 2025

Thermo Fisher Scientific Inc., a global leader in serving science with annual revenue exceeding $40 billion, is seeking a Sr Director, Site Leader for their Cell Therapy Services business in San Francisco, CA. The role involves overseeing production operations, collaborating with various departments to meet financial targets, and driving innovation in cell therapy manufacturing. The ideal candidate will have a blend of strategic and operational expertise, strong understanding of cell and gene-based processes, cGMP compliance, and biologics manufacturing. They should possess proven leadership skills, experience in a highly regulated environment, and a track record of building strong teams. The position offers competitive remuneration, annual incentive plan bonus, and comprehensive benefits.

CPU Implementation Lead Engineer

Company: Apple

Location: Santa Clara, CA

Posted Jan 23, 2025

Apple is hiring experienced engineers for the CPU Implementation leadership team in its Silicon Engineering Group. The role involves CPU IP delivery, working with multi-functional teams for physical design implementation, and mentoring junior engineers. The ideal candidate should have a BS degree and at least 10 years of relevant industry experience, with expertise in synthesis, place-and-route, and cross-functional team collaboration. Apple offers a competitive base pay range between $175,800 and $312,200, along with comprehensive benefits and opportunities for professional growth.

CPU Implementation Engineer

Company: Apple

Location: Santa Clara, CA

Posted Jan 23, 2025

Software Engineer, Calls Security

Company: Apple

Location: San Diego, CA

Posted Jan 23, 2025

Camera Software Engineer

Company: Apple

Location: Cupertino, CA

Posted Jan 23, 2025

Apple's camera algorithm team is seeking software developers to work on image capture and processing/rendering prototyping platform. The role involves working on camera, ISP, Machine Learning technologies, and HW components like the Apple Neural Engine. The ideal candidate should be self-motivated, a problem solver, and comfortable in a dynamic multi-functional environment. They should have experience in image/video processing, CV/ML, and strong C/C++ programming skills. The role offers a base pay range between $143,100 and $264,200, along with comprehensive benefits and opportunities for growth.

Product Strategy Lead

Company: Meta

Location: Menlo Park, CA

Posted Jan 23, 2025

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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