Drive Innovation Jobs in San Francisco, CA

448,672 open positions · Updated daily

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

C2 Software Product Line Lead (NG Space Systems) - T05

Company: Northrop Grumman

Location: Redondo Beach, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Senior Manager, Paid Social

Company: Gap Inc.

Location: San Francisco, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Food & Beverage Team Leader

Company: Target

Location: Tracy, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Senior Director of Enterprise Search - Inbound Product Management

Company: ServiceNow

Location: Santa Clara, CA / Remote

Posted Feb 08, 2025

View Details Apply on The Muse

Starbucks Barista

Company: Target

Location: Mission Viejo, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Retail Management Internship | Fullerton, CA (Summer 2025)

Company: The TJX Companies, Inc.

Location: Anaheim, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Responsible Materials Sourcing Manager

Company: Apple

Location: Sunnyvale, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Director, Account Management

Company: Mastercard

Location: San Francisco, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Pharmacy Technician

Company: CVS Health

Location: Long Beach, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Sr. Forensic Malware Analyst

Company: BRS

Location: San Antonio, TX

Posted Feb 08, 2025

Generate forensic reports and synopses presenting complex technical processes and findings clearly and concisely to technical and non‐technical.

View Details Apply on SimplyHired

Territory Sales Representative

Company:

Location: Redding, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Truck Driver - Local Class A

Company: Penske Motor Group

Location: Lake Tahoe, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are typical salary ranges for Drive Innovation roles by seniority?
Junior R&D Engineer or Associate AI Engineer: $80k‑$120k. Mid‑level AI Engineer or Edge Developer: $120k‑$170k. Lead Engineer, Solutions Architect, or Innovation Lead: $170k‑$220k. Senior roles in quantum or blockchain can exceed $220k depending on location and expertise.
What skills and certifications are required for Drive Innovation positions?
Core programming in Python, Rust, or Go; ML frameworks TensorFlow, PyTorch, JAX; container orchestration with Docker/Kubernetes; cloud IoT platforms such as AWS IoT Core, Azure IoT Hub, or Google Cloud IoT; edge runtime environments like EdgeX Foundry; quantum SDKs Qiskit or Cirq; blockchain platforms Hyperledger Fabric or Ethereum; certifications like AWS Certified Machine Learning – Specialty, Certified Kubernetes Administrator, Qiskit Certified Developer, or Certified Blockchain Professional (CBP).
Is remote work available for Drive Innovation jobs?
Yes. Most Drive Innovation listings allow full‑remote or hybrid arrangements, especially for software‑centric roles. Remote work is feasible for tasks that involve development, testing, and cloud deployments; on‑site visits are typically limited to hardware integration or customer demos.
What career progression paths exist within Drive Innovation?
Typical progression: Junior Engineer → Senior Engineer → Lead Engineer/Tech Lead → Solutions Architect or Data Science Lead → Director of Innovation or VP of Emerging Technologies. Each step adds strategic ownership, cross‑team leadership, and product‑market alignment responsibilities.
What industry trends are shaping Drive Innovation?
Key trends: edge AI powered by 5G enabling real‑time inference; quantum machine learning moving from research to pilot projects; IoT security standards like CIP‑V4 and SIEM integration; blockchain for immutable audit trails; and the rise of AI‑driven automation in supply chains. Companies are also investing in low‑code ML platforms to accelerate deployment.

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