Cutting-Edge Solutions Jobs in San Francisco, CA

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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.

Senior Sales Support Engineer

Company:

Location: San Antonio, TX

Posted Feb 03, 2025

View Details Apply on The Muse
building the future of Disneys media business designing and building infrastructure for media advertising and distribution developing groundbreaking products and techniques

Lead Software Engineer (Roku Development)

Company: The Walt Disney Company

Location: San Francisco, CA

Posted Feb 03, 2025

Disney Entertainment & ESPN Technology is seeking an experienced Lead Software Engineer for the Roku Client Application Engineering Team. The role involves building Direct-to-Consumer client apps such as Disney+, Star+, ESPN, and Hulu on Roku streaming devices and smart TVs. The ideal candidate should have at least 7 years of development experience with a client-side development stack, ideally with at least 2 years of BrightScript experience. The engineer will contribute to the development of new application features, mentor junior team members, and collaborate with various engineering teams. The hiring range for this position is $159,500 - $213,900 per year, depending on the candidate's geographic region, job-related knowledge, skills, and experience.

View Details Apply on BuiltIn

Business Account Executive

Company: Spectrum

Location: El Segundo, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Digital Subscription Manager - Kohler Ventures

Company:

Location: Palo Alto, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Account Executive (Primary Care)

Company:

Location: San Jose, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Fraud Prevention and Detection Training Lead

Company:

Location: San Antonio, TX

Posted Feb 03, 2025

View Details Apply on The Muse

Mover - Installer

Company: Sodexo

Location: Berkeley, CA

Posted Feb 03, 2025

View Details Apply on The Muse

RVP, AI GTM

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Client Service Manager Sr.

Company:

Location: Walnut Creek, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Risk Analyst Lead - Bank

Company:

Location: San Antonio, TX

Posted Feb 03, 2025

View Details Apply on The Muse

AIML - Sr Quality Program Manager, Data Operations

Company: Apple

Location: Cupertino, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Store Associate

Company: CVS Health

Location: Anaheim, CA

Posted Feb 03, 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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