> Markdown version of [/jobs/ext/4707824-lead-software-engineer](https://www.wearedevelopers.com/jobs/ext/4707824-lead-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Software Engineer

- **Company:** PDS Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $291,200
- **Contract:** Permanent contract
- **Skills:** Computer Engineering, Information Technology, Performance Monitor
- **Published:** November 13, 2026
- **Apply:** https://www.cjhunter.com//jobsearch/showjob.html?resultid=0mjjFY&offset=170&PageSize=ALL&PageTitle=%3Cspan+style%3D%27font-weight%3Abold%27%3ELead+Software+Engineer+-+%3C%2Fspan%3ELead+SoC+Performance+Engineer+%7C+Intel+Architecture+%26amp%3B+QoS+PDS+Tech+Commercial+is+hiring+a+Lead+SoC+Performance+Engineer+to+drive+performance+characterization+and+optimization+ac..&SIDW=ebfafb737833b3bac41aa8bec11a23a3.VUlEPTYwMjI2NTk1

## About the Role

* 8+ years of SoC performance analysis and characterization experience.
 * Strong expertise in L2/L3 Cache, LLC occupancy, cache contention, and memory bandwidth.
 * Hands-on experience with Intel PMU, Uncore Performance Counters, and performance-monitoring tools.
 * Knowledge of QoS, Cache Allocation Technology (CAT), Memory Bandwidth Allocation (MBA), and bandwidth throttling.
 * Experience with Intel Tiger Lake, Ice Lake, or Alder Lake platforms.
 * Background developing performance-monitoring tools and analyzing multicore and NoC behavior.
 * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.

AC20-193 certification experience is strongly preferred.

## Description

* Lead development of performance-monitoring tools and characterization frameworks.
 * Analyze cache utilization, memory traffic, NoC congestion, and interconnect performance.
 * Develop and validate QoS policies, bandwidth allocation, and resource management strategies.
 * Identify performance bottlenecks and establish latency and bandwidth limits.
 * Lead technical initiatives and collaborate with architecture and engineering teams.