Performance Engineer Jobs in Austin, TX
Performance Engineer jobs in Austin, Texas are in strong demand across semiconductor, cloud infrastructure, and enterprise software, with roles concentrated in the Domain, the Central Business District, and the East Austin tech corridor. Companies actively hiring include Qualcomm, AMD, and Apple. Find a role that fits below and apply directly.
Find Performance Engineer JobsOverview
Showing 5 of 49+ Performance Engineer jobs
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > DSP Architecture and DesignGeneral Summary:
We are seeking an experienced Performance Modeling Engineer to drive architectural exploration, performance analysis, and system-level optimization for next-generation processors, AI accelerators, and SoC platforms. The ideal candidate will have deep expertise in processor architecture, memory systems, cache hierarchies, coherent interconnects, and transaction-level modeling (TLM).
In this role, you will work closely with architecture, RTL, verification, software, and system teams to develop high-fidelity performance models, evaluate architectural tradeoffs, and guide key design decisions from concept through silicon.
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 6+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 5+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
- 2+ years of experience with high-performance microprocessor design.
Responsibilities
· Develop and maintain transaction-level and analytical performance models for processors, memory hierarchies, interconnects, and accelerators.
· Create detailed models of:
o Cache hierarchies
o Coherent interconnects
o Memory subsystems
o DMA engines
o Shared-memory multiprocessor (SMP) systems
· Evaluate architectural tradeoffs involving:
o Performance
o Power
o Area
o Latency
o Bandwidth
o Scalability
· Analyze workload behavior and identify system bottlenecks through simulation and modeling.
· Drive architectural studies for next-generation multicore and cache-coherent systems.
· Perform deep performance analysis of:
o Branch prediction
o Hardware prefetching
o Speculative execution
o Load/store architectures
o Cache coherence protocols
o Memory consistency models
· Model and validate the behavior of multithreaded and multiprocessor workloads.
· Collaborate with hardware and software teams to correlate performance models with RTL simulations, emulation results, and silicon data.
· Present architectural recommendations and performance insights to engineering leadership.
Required Qualifications
· BS, MS, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field.
· 10+ years of industry experience in computer architecture, microarchitecture, or performance modeling.
· Strong understanding of:
o Processor architecture and microarchitecture
o Cache and memory hierarchy design
o Shared-memory multiprocessor (SMP) systems
o Multicore scaling challenges
· Experience developing:
o Transaction-Level Models (TLM/SystemC)
o Analytical performance models
o Architectural simulators
· Deep knowledge of cache behavior, including:
o Capacity and conflict effects
o Latency analysis
o Prefetching techniques
o Memory locality
o Coherence interactions
· Familiarity with modern cache coherence protocols such as:
o ARM CHI
o ACE
o MESI/MOESI-based protocols
· Strong understanding of:
o Memory consistency models
o Atomic operations
o Synchronization mechanisms
o Ordering semantics
· Strong software development skills in C++, Python, or equivalent languages.
Preferred Qualifications
· Experience modeling AI accelerators, CPUs, GPUs, or heterogeneous compute architectures.
· Understanding of:
o Network-on-Chip (NoC) architectures
o Memory controllers
o DDR and HBM memory systems
o Virtualization technologies such as SR-IOV
· Familiarity with formal verification methods for cache coherence and memory ordering.
· Experience correlating pre-silicon performance models with silicon measurements and performance counters.
· Knowledge of power-performance analysis and optimization techniques.
Key Technical Areas
· Performance Modeling
· Transaction-Level Modeling (TLM/SystemC)
· Cache Modeling
· Cache Coherence
· ARM CHI
· Processor Architecture
· SMP Architectures
· Multicore Systems
· Memory Consistency Models
· Branch Prediction
· Hardware Prefetching
· Speculative Execution
· Interconnect and NoC Modeling
· Memory System Architecture
· AI Accelerator Architecture
· Performance and Power Analysis
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$191,800.00 - $287,800.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > DSP Architecture and DesignGeneral Summary:
We are seeking an experienced Performance Modeling Engineer to drive architectural exploration, performance analysis, and system-level optimization for next-generation processors, AI accelerators, and SoC platforms. The ideal candidate will have deep expertise in processor architecture, memory systems, cache hierarchies, coherent interconnects, and transaction-level modeling (TLM).
In this role, you will work closely with architecture, RTL, verification, software, and system teams to develop high-fidelity performance models, evaluate architectural tradeoffs, and guide key design decisions from concept through silicon.
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 6+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 5+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
- 2+ years of experience with high-performance microprocessor design.
Responsibilities
· Develop and maintain transaction-level and analytical performance models for processors, memory hierarchies, interconnects, and accelerators.
· Create detailed models of:
o Cache hierarchies
o Coherent interconnects
o Memory subsystems
o DMA engines
o Shared-memory multiprocessor (SMP) systems
· Evaluate architectural tradeoffs involving:
o Performance
o Power
o Area
o Latency
o Bandwidth
o Scalability
· Analyze workload behavior and identify system bottlenecks through simulation and modeling.
· Drive architectural studies for next-generation multicore and cache-coherent systems.
· Perform deep performance analysis of:
o Branch prediction
o Hardware prefetching
o Speculative execution
o Load/store architectures
o Cache coherence protocols
o Memory consistency models
· Model and validate the behavior of multithreaded and multiprocessor workloads.
· Collaborate with hardware and software teams to correlate performance models with RTL simulations, emulation results, and silicon data.
· Present architectural recommendations and performance insights to engineering leadership.
Required Qualifications
· BS, MS, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field.
· 10+ years of industry experience in computer architecture, microarchitecture, or performance modeling.
· Strong understanding of:
o Processor architecture and microarchitecture
o Cache and memory hierarchy design
o Shared-memory multiprocessor (SMP) systems
o Multicore scaling challenges
· Experience developing:
o Transaction-Level Models (TLM/SystemC)
o Analytical performance models
o Architectural simulators
· Deep knowledge of cache behavior, including:
o Capacity and conflict effects
o Latency analysis
o Prefetching techniques
o Memory locality
o Coherence interactions
· Familiarity with modern cache coherence protocols such as:
o ARM CHI
o ACE
o MESI/MOESI-based protocols
· Strong understanding of:
o Memory consistency models
o Atomic operations
o Synchronization mechanisms
o Ordering semantics
· Strong software development skills in C++, Python, or equivalent languages.
Preferred Qualifications
· Experience modeling AI accelerators, CPUs, GPUs, or heterogeneous compute architectures.
· Understanding of:
o Network-on-Chip (NoC) architectures
o Memory controllers
o DDR and HBM memory systems
o Virtualization technologies such as SR-IOV
· Familiarity with formal verification methods for cache coherence and memory ordering.
· Experience correlating pre-silicon performance models with silicon measurements and performance counters.
· Knowledge of power-performance analysis and optimization techniques.
Key Technical Areas
· Performance Modeling
· Transaction-Level Modeling (TLM/SystemC)
· Cache Modeling
· Cache Coherence
· ARM CHI
· Processor Architecture
· SMP Architectures
· Multicore Systems
· Memory Consistency Models
· Branch Prediction
· Hardware Prefetching
· Speculative Execution
· Interconnect and NoC Modeling
· Memory System Architecture
· AI Accelerator Architecture
· Performance and Power Analysis
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$191,800.00 - $287,800.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
See All 49 Performance Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find Performance Engineer JobsPerformance Engineer Job Market in Austin
Who's Hiring
- Qualcomm11
- AMD9
- Apple6
- Amazon Web Services6
- NVIDIA4
Top Industries Hiring
- Technology & Software11
- Electronics & Hardware11
- Telecommunications8
- Retail4
- E-Commerce & Online Marketplaces4
Performance Engineer Jobs in Austin: Frequently Asked Questions
How do I get a performance engineer job in Austin?
The strongest path into Austin's performance engineering market is through the city's semiconductor, cloud, and enterprise software sectors, where demand is most consistent. Roles cluster in the Domain and East Austin tech corridor, so targeting employers in those areas gives you an edge. Candidates with hands-on experience in load testing, profiling, or capacity planning, combined with familiarity with distributed systems, stand out in Austin specifically.
Which companies hire performance engineers in Austin?
Employers hiring performance engineers in Austin right now include Qualcomm, AMD, and Apple, based on current listings on Migrate Mate as of October 2026. Austin's market is anchored by a mix of large semiconductor and cloud infrastructure firms alongside fast-growing enterprise software startups, giving performance engineers a range of company sizes and technical environments to choose from.
Are there remote performance engineer jobs in Austin?
Yes, though availability depends on the role type, since hands-on hardware and on-site infrastructure work is rarely fully remote while software performance and analytical roles are much more flexible. About 0% of performance engineer openings tied to Austin are remote or hybrid as of October 2026, with the remote share concentrated in cloud performance and application-level roles rather than chip or data center work.
How can I get a performance engineer job in Austin with little or no experience?
The most realistic entry path in Austin is through QA or site reliability engineering roles at mid-size software companies, which frequently hire early-career candidates and offer a natural progression into performance work. Austin's large community of enterprise software startups and cloud-focused firms also hire performance-adjacent roles like test automation engineer and DevOps engineer that build directly relevant skills. Familiarity with tools like JMeter, Gatling, or Grafana strengthens any entry-level application locally.
Which industries hire the most performance engineers in Austin?
The sectors hiring the most performance engineers in Austin are Technology & Software, Electronics & Hardware, and Telecommunications, based on current listings on Migrate Mate as of October 2026. Austin's concentration of semiconductor manufacturers, hyperscale cloud operators, and enterprise SaaS companies creates consistent, layered demand for performance engineering talent across both hardware and software disciplines.
See All 49 Performance Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find Performance Engineer Jobs