Strong Problem-Solving Skills Jobs in San Francisco, CA

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Looking for Strong Problem-Solving Skills jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Strong Problem-Solving Skills position in the San Francisco, CA area.

Lick Observatory Senior Custodian

Company: University of California Santa Cruz

Location: Mount Hamilton, CA

Posted May 25, 2025

Must possess a valid license to drive in the state of California and be able to participate in the Department of Motor Vehicles (DMV) pull notice program.

Plumber

Company: 10X Recruiting Partners

Location: Los Angeles, CA

Posted May 25, 2025

Employment Type: Full-time, with travel throughout Los Angeles (no overnight stays). Comprehensive Benefits Package (Health, Retirement, PTO).

Outside Machinist

Company: Ameri-Force

Location: San Diego, CA

Posted May 24, 2025

Must have the ability to read and interpret mechanical drawings, written instructions/ technical manuals. Minimum three years of experience in a related field,…

Principal AI/ML Engineer - State Estimation & Map Creation, Embodied AI

Company: General Motors

Location: Mountain View, CA

Posted May 24, 2025

Role: As a Technical Lead in State Estimation within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge state…

Staff Software Engineer - AMR Robot Simulation

Company: General Motors

Location: Mountain View, CA

Posted May 25, 2025

Bachelor's, Master’s or Ph.D. in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field. Proficiency in Python or C++.

Frequently Asked Questions

What are typical salary ranges by seniority for problem‑solving roles?
Entry‑level (0‑2 yrs): $70k‑$90k; Mid‑level (3‑5 yrs): $90k‑$125k; Senior (6‑10 yrs): $125k‑$180k; Lead/Principal: $180k‑$250k+.
Which skills and certifications are required for strong problem‑solving professionals?
Core stack: Python, SQL, R; data viz: Tableau, PowerBI; modeling: scikit‑learn, TensorFlow, PyTorch; process optimization: Six Sigma Green Belt; cloud: AWS Certified Solutions Architect, Google Cloud Professional Data Engineer; dev‑ops: Docker, Kubernetes; security: CompTIA Security+, CEH.
How common is remote or hybrid work in problem‑solving positions?
Over 80% of listings support full‑remote or hybrid arrangements, with most companies providing cloud‑based dev environments and flexible hours. Remote roles emphasize strong communication and self‑management.
What career progression paths exist for problem‑solving specialists?
Typical path: Junior Analyst → Analyst → Senior Analyst → Lead Analyst → Manager → Director of Analytics → VP of Data Science. For software roles: Junior Dev → Developer → Senior Dev → Tech Lead → Engineering Manager → VP of Engineering.
What industry trends are shaping demand for problem‑solving talent?
Automated ML pipelines, AI‑driven decision systems, edge‑computing analytics, and ethical AI governance are driving demand for roles that can architect reproducible ML workflows and enforce data governance.

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