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.

Staff Software FullStack Engineer - Partners Team

Company: BILL

Location: San Jose, CA

Posted Jan 23, 2025

BILL is a rapidly growing Fintech company that empowers businesses by replacing outdated financial processes with innovative tools. The Partners Team focuses on enhancing embedded payment experiences, streamlining bill pay and cash flow management. They offer comprehensive, end-to-end solutions that integrate seamlessly with various systems. The role involves designing new integrations, working cross-functionally, improving system reliability, and mentoring junior engineers. Required qualifications include extensive experience in full-stack solutions, Java, multi-threading, event-driven architectures, REST, GraphQL, and more. BILL values diversity, inclusion, and continuous learning, offering a competitive salary range and benefits package.

UX Manager [Growth Team]

Company: Meta

Location: Menlo Park, CA

Posted Jan 23, 2025

Deburr Technician

Company: SpaceX

Location: El Segundo, CA

Posted Jan 23, 2025

SpaceX, a company founded on the belief of human exploration of the stars, is actively developing technologies for human life on Mars. The Deburr Technician role is crucial in this process, responsible for final finishing of parts from CNC machining areas. The position requires strong attention to detail, ability to stand for long periods, and experience in deburring, grinding, or machining metal items. Preferred skills include blueprint reading, use of various measuring instruments, and grinding equipment. The role involves nominal shift hours, potential overtime, and comprehensive benefits including stock options, retirement plans, and health insurance. SpaceX is an Equal Opportunity Employer.

Product Planning Lead - Applications

Company: ASML

Location: San Jose, CA

Posted Jan 23, 2025

Sr. Data Analyst, Starlink Payments

Company: SpaceX

Location: El Segundo, CA

Posted Jan 23, 2025

Veterinarian

Company: Banfield Pet Hospital

Location: San Diego, CA

Posted Jan 23, 2025

Banfield Pet Hospital is seeking a Relief Veterinarian to provide preventative care, diagnose and treat diseases and injuries of pets. The role involves ensuring pet, client, and associate safety, obtaining relevant information from clients, maintaining medical records, educating clients, and providing professional service. The ideal candidate should have strong multi-tasking, communication, organizational, surgical, problem-solving, client service, intellectual, compassionate, mathematical, and computer skills. They must also demonstrate initiative, integrity, cooperativeness, flexibility, independence, and stress tolerance. The position requires a DVM/VMD degree, valid state veterinary license, DEA license, and proven surgical skills. Benefits include competitive pay, comprehensive health insurance, retirement plans, and more. Banfield Pet Hospital is an equal opportunity employer.

Staff Mechanical Design Engineer

Company: General Motors

Location: Mountain View, CA

Posted Jan 23, 2025

General Motors is seeking a Staff Mechanical Design Engineer to lead the in-house development of GM electronics design. The role involves executing mechanical design of ECUs, designing mechanical components, performing design calculations, creating CAD models, and leading prototyping and testing. The ideal candidate should have a BS in Mechanical or Electrical Engineering, 10+ years of ECU design experience, proficiency in 3D CAD modeling, CAE skills, and strong analytical skills. A Master's degree, experience in thermal solutions, and understanding of ASME Y14.5-2009 standards are preferred. The role is hybrid, requiring the candidate to report to Mountain View, CA or Warren Tech Center (Warren, MI) three times a week. The compensation range is $137,000 - $214,300 annually, with bonus potential and comprehensive benefits.

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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