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.

Senior Service Quality Engineer (Hybrid)

Company: Stryker

Location: San Jose, CA

Posted Jan 23, 2025

Stryker is hiring a Senior Service Quality Engineer in San Jose, CA. The role involves sustaining service processes, creating and implementing quality standards, and driving improvements using lean manufacturing principles. The ideal candidate is detail-oriented, collaborative, analytical, and dedicated. Required qualifications include a Science or Engineering degree and 2+ years of experience in a regulated environment. Preferred skills include mechanical/electrical problem-solving, knowledge of quality system standards, and experience with Lean Six Sigma or similar methodologies. The position offers a competitive salary and comprehensive benefits.

Software Engineer, Ads Machine Learning Data Platform

Company: TikTok

Location: San Jose, CA

Posted Jan 23, 2025

TikTok, a leading platform for short-form mobile video, is seeking a Software Engineer to join their Ads machine learning data platform team. The role involves leading projects to build scalable and reliable ML-oriented data infrastructure systems, providing technical leadership, and communicating cross-functionally. The ideal candidate will have a Bachelor's degree in computer science, 3+ years of experience in building complex ML systems, strong CS fundamentals, and solid coding skills. Experience in the Ads domain and large-scale data processing infrastructure is preferred. TikTok values inclusivity and diversity, aiming to inspire creativity and bring joy. The base salary range for this position is $145,000 - $250,000 annually, with additional benefits including medical, dental, vision insurance, 401(k) savings plan, paid parental leave, and more.

Site Reliability Engineer - USDS (MTV)

Company: TikTok

Location: Mountain View, CA

Posted Jan 23, 2025

TikTok U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., focusing on data protection and content assurance. The team spans across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions. The mission is to keep U.S. users safe while they learn, earn, express, and get entertained. The security team operates security infrastructures, platforms, and technologies, and supports cross-functional teams to protect users, products, and infrastructures. They develop new solutions to new challenges, working fast and at scale. The role requires a BS degree in Computer Science or related field, 2+ years of experience, and skills in programming, debugging, and optimization. Preferred qualifications include experience with large cloud providers and infrastructure-as-code concepts.

Software Engineer, TikTok Brand Ads

Company: TikTok

Location: Los Angeles, CA

Posted Jan 23, 2025

Assistant Research Professor - Precision Oncology of Gastrointestinal Cancers

Company: City of Hope

Location: Duarte, CA

Posted Jan 23, 2025

City of Hope, a renowned biomedical research institution, is seeking an Assistant Research Professor with a strong background in translational oncology, preferably gastrointestinal (Gi) oncology. The successful candidate will join a multidisciplinary research team led by Dr. Ajay Goel, contributing to cutting-edge research in GI oncology. Key responsibilities include devising and advancing research projects, generating data for grant applications, preparing manuscripts for publication, and training post-doctoral fellows. The position offers a competitive salary, institutional medical insurance, and other benefits.

Software Engineer, Machine Learning

Company: Meta

Location: Los Angeles, 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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