Cutting-Edge Technology Jobs in San Francisco, CA

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

Senior Software Engineer

Company: PayPal

Location: San Jose, CA

Posted Jan 30, 2025

We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account…

Growth Product Manager

Company: Monograph

Location: San Francisco, CA

Posted Jan 29, 2025

Monograph is a performance management platform for architecture and engineering firms, aiming to revolutionize project management and design processes. They are seeking a Growth Product Manager to lead product definition and delivery for a new product team focused on driving product-led growth via converting free users to paid subscribers. The role involves setting clear goals, planning and executing a roadmap, experimentation, and collaboration with cross-functional teams. The ideal candidate has 5+ years of product management experience, preferably in B2B SaaS, is user-focused, a strong systems thinker, and adaptable. The position offers a salary range of $165,000 - $185,000, healthcare benefits, and a well-funded, inclusive work environment.

RFIC layout engineer

Company: Apple

Location: San Diego, CA

Posted Jan 30, 2025

Sr. Financial Analyst (Hybrid)

Company: BD

Location: San Diego, CA

Posted Jan 30, 2025

Analyst, Growth Capital

Company: ORIX Corporation USA

Location: San Francisco, CA

Posted Jan 30, 2025

(USA) Prepared Food Lead

Company: Walmart

Location: San Dimas, CA

Posted Jan 30, 2025

Field Sales Account Executive-Hospitality

Company: Rewards Network

Location: San Diego, CA

Posted Jan 29, 2025

Rewards Network, a 40-year-old company, is seeking a remote Account Executive for the San Diego, CA territory. The role involves driving company growth through cold calling, prospecting, and building relationships. The company offers a competitive salary, uncapped commission, and a range of benefits including health insurance, retirement plans, and dining reimbursement. The ideal candidate has 4+ years of outside sales experience, strong financial acumen, and excellent communication skills.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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