Cutting-Edge Technologies Jobs in San Francisco, CA

260,353 open positions · Updated daily

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.

Distinguished Scientist

Company: ServiceNow

Location: Santa Clara, CA

Posted Jan 23, 2025

Sr Manager IT - Supply Chain Planning

Company: Mattel

Location: El Segundo, CA

Posted Jan 23, 2025

Trajectory Analysis Engineer (Starship)

Company: SpaceX

Location: El Segundo, CA

Posted Jan 23, 2025

SpaceX, a company founded on the belief in human exploration of the stars, is currently developing technologies to enable human life on Mars. They are seeking a Trajectory Analysis Engineer to find creative solutions for their advanced rockets, including the Starship vehicle. The role involves analyzing launch vehicle trajectories, generating flight safety deliverables, and interfacing with various teams. The ideal candidate should have a degree in physics or engineering, experience with orbital mechanics and Python/C++, and a passion for advancing the commercial space industry.

Global Supply Manager (Starship)

Company: SpaceX

Location: El Segundo, CA

Posted Jan 23, 2025

Hardware Systems Engineer, NPI

Company: Meta

Location: Sunnyvale, CA

Posted Jan 23, 2025

Principal Software Engineer - Regulated Industries

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 23, 2025

MBSE Systems Engineer PD Specialist

Company: Deloitte

Location: San Diego, CA

Posted Jan 23, 2025

AI Research Engineer, VLLM (vision large language models) - Generative AI

Company: Meta

Location: Menlo Park, CA

Posted Jan 23, 2025

Meta is hiring a Research Engineer for their Llama Large Language Model (LLM) Research team, specifically for vision large language models (VLLMs). The ideal candidate should have expertise in areas like vision encoders, data filtering/curation, RLHF, responsible AI, and model controllability. The role involves leading and executing on developing scalable data curation and model development systems, contributing to experiments, mentoring team members, and collaborating across functions. Minimum qualifications include a Bachelor's or Master's degree in a relevant field, 3+ years of research experience, and publications in machine learning, computer vision, NLP, or audio. Preferred qualifications include industry research experience in generative AI and LLM, fluency in Python and PyTorch, and a PhD in AI or related fields.

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.

Related Pages