Sr. Manager Software Development

Advanced Micro Devices, Inc•Boxborough, MA

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent experience)
Experienced technical leader with a strong background in performance‑critical software
Proven ability to scale and lead complex engineering organizations
Combines technical depth with operational rigor
Highly data‑driven
Comfortable operating at a scope where performance outcomes influence product strategy, architecture decisions, and market positioning
Equally effective mentoring engineers, managing managers, shaping execution frameworks, and representing SPE in senior technical and business forums.

Nice To Haves

Software performance engineering, benchmarking, or workload analysis experience
Deep familiarity with client platforms, including CPUs, operating systems, system software, and performance/power tradeoffs
Proficiency in performance analysis techniques such as profiling, tracing, and hardware performance counters
Experience working with ISVs, open‑source communities, or industry benchmark organizations
Demonstrated success scaling technical organizations during periods of growth
Advanced degree preferred

Responsibilities

Own the strategic adoption and execution of AI-enhanced coding methodologies across software development teams
Lead the definition, development, and scaling of agentic workflows that apply autonomous or semi-autonomous agents to multi-step engineering tasks.
Translate high-level productivity and quality goals into executable AI and agent-driven programs with clear ownership, milestones, and success criteria.
Guide teams in designing human‑and‑AI collaborative systems with well‑defined abstractions, guardrails, and interfaces between engineers and agents.
Ensure agentic and AI‑assisted workflows deliver measurable improvements in engineering velocity, code quality, reliability, and developer experience.
Lead and manage a large, multi‑team organization of senior performance engineers, specialists, and technical leads.
Recruit, retain, and develop top‑tier performance engineering talent.
Build strong first‑line and second‑line leadership with durable succession plans.
Foster a culture of technical excellence, accountability, and data‑driven decision making.
Ensure engineers are mentored, challenged, and aligned with SPE priorities and AMD business goals.
Own end‑to‑end execution of SPE performance optimization programs across client workloads, including: Productivity, browser, creator, workstation, and emerging workloads; Benchmark‑relevant and real‑world usage scenarios
Translate high‑level performance goals into executable programs with clear ownership, milestones, and success criteria.
Ensure optimization efforts deliver measurable improvements in performance, performance‑per‑watt, responsiveness, and efficiency.
Drive execution of SPE’s workload and benchmark strategy, ensuring the right workloads are selected, analyzed, and optimized.
Maintain rigor, credibility, and defensibility in benchmark and workload methodologies.
Oversee teams performing: Root‑cause analysis using profiling, tracing, and performance counters; Correlation of benchmark behavior to real‑world application performance
Ensure all SPE outputs are explainable, actionable, and trusted by internal stakeholders and external partners.
Partner closely with architecture, platform, OS, power management, and product management teams.
Ensure SPE insights directly influence: Client product requirements; Platform and microarchitecture tradeoffs; Launch readiness and competitive positioning
Represent SPE in senior‑level technical and business forums where performance outcomes materially affect decision‑making.
Build and evolve operating mechanisms to support SPE growth, including: Project intake and prioritization; Resource allocation across competing initiatives; Progress tracking and risk management
Balance near‑term delivery needs (product launches, benchmarks) with longer‑term investments in tooling, methodology, and ecosystem engagement.