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.

Lead Client Advisor

Company: Thomson Reuters

Location: Los Angeles, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Store Associate

Company: CVS Health

Location: San Diego, CA

Posted Jan 24, 2025

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Strategy & Operations Principal, Partner Operations

Company: Via

Location: Los Angeles, CA

Posted Jan 24, 2025

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Engineering Manager - Creative AIGC, Ads Creative & Ecosystem

Company: TikTok

Location: San Jose, CA

Posted Jan 24, 2025

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Wireless Regulatory Engineer

Company: Meta

Location: Sunnyvale, CA

Posted Jan 24, 2025

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Machine Learning Engineer

Company: Capital Group

Location: Los Angeles, CA

Posted Jan 24, 2025

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Public Records Specialist I

Company: AppFolio

Location: Santa Barbara, CA

Posted Jan 24, 2025

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Sr. Designer, Marcom Design

Company: Apple

Location: Sunnyvale, CA

Posted Jan 24, 2025

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Principal Software Engineer in Test Automation (SASE)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Jan 24, 2025

View Details Apply on The Muse
multibillion-dollar global company powerhouse in the memory industry innovative business that develops cutting-edge products

Customer Supply Chain Analyst

Company: Solidigm

Location: Sacramento, CA

Posted Jan 24, 2025

Solidigm, a multibillion-dollar global company, is seeking a Supply Chain Analyst (SCA) to ensure the right product reaches the right location at the right time. The SCA will act as a communication conduit between the customer sales team and factory-facing teams, optimizing revenues and supply. Responsibilities include managing customer demand-supply-order activities, coordinating global customer operations support, and drawing actionable insights from complex data sets. The ideal candidate should have excellent interpersonal skills, be data-driven, highly organized, and flexible. A bachelor's degree in supply chain management, logistics, business management, finance, or related fields is required, along with 35+ years of experience in customer or product supply chain management. Advanced knowledge of SAP, Excel, Power BI, Tableau, and other industry-standard reporting tools is necessary. The compensation range for this role is $77,790 - $116,690.

View Details Apply on BuiltIn

Store Associate

Company: CVS Health

Location: Santa Ana, CA

Posted Jan 24, 2025

View Details Apply on The Muse

Retail Sales Specialist - Part-Time (Bilingual Spanish)-$20.00 per hour, plus commission and incentives!

Company: Spectrum

Location: Los Angeles, 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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