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.

Account Manager II

Company: Renaissance

Location: Los Angeles, CA

Posted Jan 24, 2025

National Customer Success Executive (Field Based- Central United States)

Company: BD

Location: San Diego, CA

Posted Jan 24, 2025

The Customer Success Executive (CSE) role at BD, a leading global medical technology company, is responsible for ensuring the success and value delivery of Medication Management Solutions (MMS) at the company's largest and most strategic customers. The CSE will orchestrate cross-functional programs, develop relationships with C-Suite executives, and serve as a trusted advisor to promote long-term adoption of MMS technologies. Key responsibilities include establishing strategic relationships with Pharmacy, Nursing, IT, and Procurement leadership, tracking utilization of contractual entitlements, supporting software upgrades, and increasing overall customer Net Promoter Scores (NPS). The ideal candidate will have a Bachelor's degree, 8-10 years of Customer Success experience, and proficiency in Office software and Salesforce. The position requires over 50% travel and a valid driver's license.

Private Client Operations Associate

Company: Capital Group

Location: Irvine, CA

Posted Jan 24, 2025

The text expresses a strong interest and confidence in securing a Private Client Operations Associate position at Capital Group. The applicant highlights their suitability for the role, citing 3+ years of experience, ability to prioritize tasks, flexibility, intellectual curiosity, and team collaboration skills. They also mention their capacity to remain calm under pressure and their eligibility for a competitive compensation package including a base salary, performance bonus, and retirement plan. The applicant identifies with Capital Group's commitment to equal opportunity employment.

Head of Legal Response Operations - USDS

Company: TikTok

Location: Los Angeles, CA

Posted Jan 24, 2025

Fundamental AI Research Scientist, Core ML - FAIR

Company: Meta

Location: Menlo Park, CA

Posted Jan 24, 2025

Meta is hiring a Research Scientist for its Fundamental AI Research (FAIR) team. The role involves advancing AI and machine learning, with a focus on areas like optimization, reinforcement learning, and privacy in machine learning. The ideal candidate should have a PhD in AI, computer science, or related fields, along with 2+ years of industry experience. They must have first-authored publications at top-tier conferences and experience in developing and debugging in Python. Meta is committed to fostering a diverse and inclusive work environment, offering competitive compensation and benefits.

AirPlay Performance Engineer

Company: Apple

Location: San Diego, CA

Posted Jan 24, 2025

Engineering Program Manager, CoreOS

Company: Apple

Location: Cupertino, CA

Posted Jan 24, 2025

Apple is seeking an experienced program manager to lead multi-functional technology efforts across Mac OS X and iOS. The role involves driving key software initiatives, integrating them with hardware roadmaps, and collaborating with various teams. The ideal candidate should have at least 5 years of program or product management in software development, strong communication skills, and a solid technical foundation. The position offers a competitive base pay range between $136,300 and $248,700, along with comprehensive benefits and opportunities for professional growth.

DELI/DEPT LEADER

Company: Kroger

Location: Orange, CA

Posted Jan 24, 2025

Retail Store Manager - Relocation Available

Company: Spectrum

Location: Ventura, CA

Posted Jan 24, 2025

Spectrum is seeking a Retail Store Manager with 3-5 years of sales and customer service experience. The role involves inspiring a team, coaching sales reps, and ensuring store success. Benefits include collaborative work environment, performance-driven culture, training, and career development opportunities. Spectrum offers competitive pay, supportive teams, and total rewards package.

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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