updated 18 days ago
Software Engineering Leader (AI)
233 990 - 330 340$
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Job description
Text:
TL;DR
Software Engineering Leader (AI): Leading Analyzer and Debugger software engineering projects, including Intel System Debugger and Intel VTune Profiler, with an accent on observability, debugging, profiling, performance, and engineering productivity. Focus on setting product strategy, coordinating hardware and software teams, developing experienced engineers, and delivering reliable innovation for the modern AI era.
Location: Hybrid work in the United States, with primary location in Hillsboro, Oregon, and additional locations in Phoenix, Arizona; Folsom and Santa Clara, California; and Austin, Texas.
Annual salary: $233,990–$330,340 USD.
Company
develops silicon and developer software products, including system debugging and performance profiling tools.
What you will do
- Lead Analyzer and Debugger software engineering projects, including System Debugger and VTune Profiler.
- Set business vision, product strategy, and engineering goals based on customer use cases and product requirements.
- Partner with hardware, software, and engineering organizations to define products and prioritize high-value work.
- Improve engineering structures, processes, product quality, performance, and delivery predictability.
- Lead and develop experienced engineering teams across multiple software projects and locations.
- Mentor engineers and architects while fostering innovation and technical excellence.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.
- 15+ years of overall experience, including 10+ years leading software engineering teams.
- 5 years of experience in system profiling, power and performance analysis, debugger engineering, workload analysis, or compiler and library engineering.
- Experience setting strategic goals, driving execution, and delivering measurable outcomes.
- Ability to communicate effectively with senior leadership, partners, and stakeholders.
Nice to have
- Deep understanding of AI/HPC and open-source ecosystems.
- Experience in AI, machine learning, next-generation technology development, and systems engineering.
- Experience balancing short-term team imperatives with long-term goals.
Culture & Benefits
- Hybrid work model combining on-site work at an assigned site with off-site work.
- Competitive pay, stock bonuses, health benefits, retirement benefits, and vacation.
- Position of Trust requiring consent to and successful completion of an extended background investigation.
- Shift 1 schedule in the United States.
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