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.

CPU Cache Microarchitect/RTL Engineer

Company: Apple

Location: Santa Clara, CA

Posted Jan 24, 2025

Apple is seeking an experienced CPU Cache Microarchitect/RTL Engineer to design high-performance, low power microprocessors for its innovative products. The role involves micro-architecture development, RTL ownership, verification, performance exploration, and design delivery. The ideal candidate should have a BS degree and at least 10 years of industry experience, with expertise in areas like coherence protocols, high-performance design, memory subsystems, and low power microarchitecture techniques. Apple offers competitive compensation, benefits, and opportunities for professional growth.

Program Manager, Product Testing

Company: Meta

Location: Menlo Park, CA

Posted Jan 24, 2025

Solutions Architect/Product Manager - e-Commerce, Apple Store Online

Company: Apple

Location: Cupertino, CA

Posted Jan 24, 2025

Apple is seeking a Solutions Architect for the Apple Store Online Product Team. The role involves designing and driving the technical architecture and roadmap, working with cross-functional partners to evolve the architecture, and implementing upgrades to tools and processes. The ideal candidate will have a BA/BS in Computer Science or equivalent experience, 4+ years of technical product management, and experience with complex, large-scale systems. Preferred qualifications include proficiency with new technologies like AI and Deep Learning, familiarity with e-commerce systems, and experience with globally distributed teams.

ASIC Design Engineer - Pixel IP

Company: Apple

Location: Cupertino, CA

Posted Jan 24, 2025

(USA) Forklift-Merchandising Associate

Company: Walmart

Location: San Antonio, TX

Posted Jan 24, 2025

The job involves complying with company policies, operating a forklift, completing work assignments, providing member service, maintaining facility safety, and ensuring sales floor presentation. The role requires handling inventory, using technology, and demonstrating leadership expectations such as respect for individuals, integrity, customer service, striving for excellence, and acting with integrity. The position offers competitive pay, benefits including health, financial, and time off benefits, and other perks like discounts and education benefits. The minimum qualifications include 90 days of prior forklift experience and being 18 years or older.

Senior ASIC Power Engineer

Company: Apple

Location: San Diego, CA

Posted Jan 24, 2025

Machine Learning Performance Modeling Engineer

Company: Meta

Location: Sunnyvale, CA

Posted Jan 24, 2025

Meta is currently seeking a Machine Learning Performance Modeling Engineer to support the development of custom machine learning software/hardware for AR/VR systems. The role involves leading power and performance modeling of IP components, designing micro-benchmarks, and analyzing thermal measurements and performance bottlenecks. The ideal candidate will have a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, along with experience in C++, Python, power concepts, and performance profilers. Preferred qualifications include experience with CV/ML algorithms, computer architecture, and power management principles.

SoC Physical Design Engineer, PnR

Company: Apple

Location: Sunnyvale, CA

Posted Jan 24, 2025

Inductive Engineering Program Manager

Company: Apple

Location: Cupertino, CA

Posted Jan 24, 2025

Antenna Engineer

Company: Meta

Location: Sunnyvale, CA

Posted Jan 24, 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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