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.

IS Specialist LOB Sales

Company:

Location: Cypress, CA

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: South San Francisco, CA

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Rosemead, CA

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: San Diego, CA

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: San Bernadino, CA

Posted Feb 03, 2025

Executive Administrator

Company: Cadence

Location: San Jose, CA

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Long Beach, CA

Posted Feb 03, 2025

IS Specialist LOB Sales

Company:

Location: West Hollywood, CA

Posted Feb 03, 2025

IS Specialist LOB Sales

Company:

Location: Sherman Oaks, CA

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Pacheco, CA

Posted Feb 03, 2025

IS Specialist LOB Sales

Company:

Location: Los Angeles, CA

Posted Feb 03, 2025

Senior Specialist, Technical Account Management

Company: Checkout.com

Location: San Francisco, CA

Posted Feb 03, 2025

Checkout.com is a leading fintech company that empowers businesses and their communities to thrive in the digital economy. They offer a flexible, cloud-based payments platform for global enterprises, helping them launch new products and create customer-loved experiences. The company is known for its performance, scalability, and innovative culture, as recognized by Forbes Cloud 100 and Great Place to Work accreditation. They are seeking an Enterprise Technical Account Manager (TAM) to build and maintain strategic relationships with key clients, ensuring their satisfaction by resolving technical issues, optimizing payment solutions, and delivering exceptional service. The ideal candidate should have 3+ years of experience in an analytical or technical role, a bachelor's degree in a relevant field, familiarity with payments industry regulations, API-based integration methods, and front-end technologies. Excellent communication and interpersonal skills are essential, along with a result-oriented approach and knowledge of payments technology compliance standards.

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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