Cutting-Edge Solutions Jobs in San Francisco, CA

489,432 open positions · Updated daily

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

Business Coordinator

Company: WME | William Morris Endeavor

Location: Beverly Hills, CA

Posted Jan 24, 2025

View Details Apply on The Muse

HR Business Partner

Company: Meta

Location: Sunnyvale, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Sr. Director, National Accounts

Company: BD

Location: San Diego, CA

Posted Jan 24, 2025

View Details Apply on The Muse
realworld projects cuttingedge research AI experts

Technical Advisor Intern - GenAI

Company: Scale AI

Location: San Francisco, CA

Posted Jan 24, 2025

The Scale AI Technical Advisor Internship is a semester-long program for university students with experience in coding, mathematics, and STEM disciplines. Interns work on real-world AI projects, contribute to cutting-edge research, and collaborate with AI experts. The program offers flexibility around academic schedules, focus group discussions, team-based projects, and opportunities for professional growth and networking. Successful interns may be invited to continue working with Scale AI in extended roles or full-time positions.

View Details Apply on BuiltIn

Senior, Software Engineer - Back-End

Company: Walmart

Location: Sunnyvale, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Diversity in Entertainment Legal Fellowship: LA- Summer 2025

Company: Warner Bros. Discovery

Location: Burbank, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Brand Partnerships Manager, Finserv - Global Business Solutions - Los Angeles

Company: TikTok

Location: Los Angeles, CA

Posted Jan 24, 2025

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MEAT/CLERK

Company: Kroger

Location: Rancho Cucamonga, CA

Posted Jan 24, 2025

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Environmental Services / Custodial Operations Manager 1

Company: Sodexo

Location: Glendale, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Sr Software Engineer (Shared Services)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Wealth Management Specialist - NPD

Company: Bank of America

Location: Santa Monica, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Technology Systems Senior Project Manager

Company: Southern California Edison (SCE)

Location: Duarte, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are typical salary ranges by seniority in Cutting‑Edge Solutions?
Entry‑level roles start at $90k–$120k. Mid‑level engineers earn $120k–$160k. Senior specialists command $160k–$210k, while technical leads and architects can reach $210k–$260k based on impact and market.
What skills and certifications are required for Cutting‑Edge Solutions roles?
Core skills include Python, PyTorch/TensorFlow, ONNX, Kubernetes, Helm, and Terraform. Certifications such as AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, Microsoft Certified: Azure AI Engineer, Certified Kubernetes Administrator (CKA), Hyperledger Fabric Developer, and IBM Quantum Developer are highly valued.
Is remote work available in Cutting‑Edge Solutions positions?
Yes, most companies adopt a hybrid model: 3–5 remote days per week with optional on‑site collaboration. Full‑remote roles are common for software and data teams that rely on cloud platforms.
What career progression paths exist in Cutting‑Edge Solutions?
Typical progression: Junior Engineer → Mid‑Level Engineer → Senior Engineer → Technical Lead → Principal Engineer → Engineering Manager → VP of Engineering. Advanced specialists may become AI Ethics Lead or Quantum Architecture Lead.
What industry trends are shaping Cutting‑Edge Solutions?
Key trends include AI democratization through low‑latency edge inference, quantum‑accelerated machine learning, scalable blockchain protocols (e.g., Polkadot, Cosmos), 5G‑enabled IoT, hybrid cloud orchestration, and growing regulatory focus on data privacy and AI explainability.

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