Financial Analyst - Hardware Engineering

Job Description

Job Title: Senior Financial Analyst - Hardware Engineering. Location: Santa Clara, California, USA

Responsibilities:

• Lead end-to-end financial planning and analysis for global research and advanced technology organizations
• Manage annual budgets, quarterly forecasts, headcount planning, variance analysis, and long-range investment planning;
• Support financial oversight of advanced engineering investments including silicon technologies, memory innovation, wafer fabrication qualifications, and R&D initiatives
• Collaborate with engineering and research leaders across AI, robotics, graphics, autonomous systems, and quantum computing programs
• Plan and manage investments for global labs, infrastructure, and engineering equipment;
• Use advanced tools including Python, SQL, AI platforms, and data visualization technologies to improve financial processes and reporting
• Build scalable financial reporting frameworks to improve visibility and strategic decision-making

Qualifications:

• Bachelor’s degree in Finance, Data Science, or related field, or equivalent experience
• MBA preferred
• 5+ years of experience in FP&A, preferably in global technology or manufacturing organizations
• Strong experience in financial modeling, analytics, and data-driven reporting
• Proficiency with Python, SQL, or similar analytical tools;
• Experience using AI productivity and analytics tools such as Claude, Cursor, or Codex
• Strong communication and executive presentation skills
• Ability to manage multiple priorities in a fast-paced environment

Preferred:

• Semiconductor or manufacturing industry experience
• Strong interest in STEM and emerging technologies;
• Understanding of technology markets and advanced research environments
• Experience supporting engineering or hardware-focused business units

Benefits and Compensation:

• Base salary range:
  • Level 3: $104,000 to $166,750 per year
  • Level 4: $128,000 to $201,250 per year
• Comprehensive employee benefits package;
• Opportunity to work with leading AI and advanced computing teams
• Collaborative and innovation-focused work environment

Other Information:

• Salary depends on experience, location, and internal compensation structure
• Role involves close collaboration with research and engineering organizations;
• Opportunity to contribute to long-term strategic technology investments