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Director Performance Engineering Jobs in San Ramon, CA

Mainstay Labs Inc.

Head of Engineering

San Francisco, CA · On-site

$300K - $325K/yr

... performance standards, measurement, and team structure. * Build an engineering culture where the bar is high, feedback is direct, and people get better fast. Culture here means operating standards ...

Workstream

Head of Engineering

Menlo Park, CA · Hybrid

$200K - $250K/yr

With 70% of our engineering talent based in China, this role requires a leader who can bridge Eastern and Western business cultures and drive a singular, high-performance engineering culture across ...

Wonderschool

Head of Engineering

San Francisco, CA

Position Summary The Head of Engineering owns product delivery, engineering execution, and team performance. This role is responsible for ensuring the engineering team consistently ships high-quality ...

Wonderschool

Head of Engineering

San Francisco, CA · On-site

Position Summary The Head of Engineering owns product delivery, engineering execution, and team performance. This role is responsible for ensuring the engineering team consistently ships high-quality ...

Valeo

Division Customer Director

San Mateo, CA

Ensure achievement of Division sales performance for the customer in charge in line with agreed ... Electrical or Mechanical Engineering degree is a plus. * 10 years of automotive sales experience

HGA

Sr Building Performance Engineer

San Francisco, CA

$123K - $169K/yr

HGA, an award-winning architectural, engineering, and planning firm , is seeking a talented and ... Ability to identify opportunities and take action without direct supervision. * Excellent ...

HGA

Sr Building Performance Engineer

San Francisco, CA · On-site

$123K - $169K/yr

HGA, an award-winning architectural, engineering, and planning firm , is seeking a talented and ... Ability to identify opportunities and take action without direct supervision. * Excellent ...

CKC Automation LLC

Controls Engineering Manager

Benicia, CA · On-site

$97K - $125K/yr

Join a no-politics, high-performance engineering team that values execution and accountability * Have a direct impact on technical direction, team growth, and business success About the Role We're ...

CKC Automation LLC

Controls Engineering Manager

Benicia, CA

$97K - $125K/yr

Join a no-politics, high-performance engineering team that values execution and accountability * Have a direct impact on technical direction, team growth, and business success About the Role We're ...

Adyen

Engineering Manager, Capital

San Francisco, CA · On-site

$198K - $293K/yr

People & Performance: Coach, mentor, and build a high-performing team from the ground up. You will ... You'll have direct access to massive global datasets (e.g., payments, identity data) and the ...

CKC Automation, LLC

Controls Engineering Manager

Benicia, CA · On-site

$97K - $125K/yr

Join a no-politics, high-performance engineering team that values execution and accountability * Have a direct impact on technical direction, team growth, and business success About the Role We're ...

Adyen

Engineering Manager, Capital

San Francisco, CA · On-site

$198K - $293K/yr

People & Performance: Coach, mentor, and build a high-performing team from the ground up. You will ... You'll have direct access to massive global datasets (e.g., payments, identity data) and the ...

CKC Automation LLC

Controls Engineering Manager

Benicia, CA · On-site

$97K - $125K/yr

Join a no-politics, high-performance engineering team that values execution and accountability * Have a direct impact on technical direction, team growth, and business success About the Role We're ...

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All JobsDirector Performance Engineering JobsDirector Performance Engineering Jobs in San Ramon, CA

Director Performance Engineering information

See San Ramon, CA salary details

$81.6K

$217.6K

$283.9K

How much do director performance engineering jobs pay per year?

As of Jun 24, 2026, the average yearly pay for director performance engineering in San Ramon, CA is $217,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,100.00 and $282,700.00 per year, depending on experience, location, and employer.

How does a Director of Performance Engineering typically collaborate with cross-functional teams to drive system optimization?

A Director of Performance Engineering frequently works closely with software development, operations, and product teams to identify performance bottlenecks and implement solutions. They lead performance reviews, set benchmarks, and coordinate testing strategies to ensure systems meet business requirements. Regular communication and joint troubleshooting sessions are common, as the role requires balancing technical needs with business priorities. This collaborative approach helps ensure that performance goals are aligned across the organization and that issues are resolved efficiently.

What are the key skills and qualifications needed to thrive as a Director of Performance Engineering, and why are they important?

To thrive as a Director of Performance Engineering, you need deep expertise in software performance optimization, systems architecture, and a strong background in computer science or a related field, often with advanced degrees or equivalent experience. Familiarity with performance testing tools (such as JMeter, LoadRunner), monitoring platforms (like New Relic, Dynatrace), and cloud infrastructure is typically required, along with certifications in relevant technologies. Exceptional leadership, cross-functional collaboration, and strategic problem-solving abilities make candidates stand out in this role. These skills are crucial for driving high-performing teams, ensuring system reliability, and delivering scalable solutions that support business objectives.

What does a Director of Performance Engineering do?

A Director of Performance Engineering leads teams responsible for ensuring that software, systems, or applications perform optimally and efficiently at scale. They set performance goals, develop testing strategies, and oversee the identification and resolution of bottlenecks. This role involves collaborating with engineering, operations, and product teams to build robust, high-performing solutions. Additionally, they provide technical leadership, mentor team members, and define best practices for performance testing and monitoring.

What is the difference between Director Performance Engineering vs Performance Engineer?

AspectDirector Performance EngineeringPerformance Engineer
ResponsibilitiesOversees performance testing strategies, manages teams, and aligns performance goals with business objectives.Conducts performance testing, analyzes system performance, and reports findings to improve application efficiency.
Required SkillsLeadership, project management, advanced performance testing expertise, and strategic planning.Technical performance testing skills, scripting, and performance analysis.
Work EnvironmentSenior management, cross-functional teams, strategic planning sessions.Technical teams, testing labs, development environments.

The main difference is that the Director Performance Engineering leads and strategizes performance initiatives at an organizational level, while the Performance Engineer focuses on executing performance tests and analyzing system performance. The director role involves leadership and planning, whereas the performance engineer role is more technical and hands-on.

What job categories do people searching Director Performance Engineering jobs in San Ramon, CA look for? The top searched job categories for Director Performance Engineering jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Director Performance Engineering jobs? Cities near San Ramon, CA with the most Director Performance Engineering job openings:
Director Performance Engineering jobs near you

Software Engineer - Performance Profiling

ETCHED LLC

San Jose, CA • On-site

$2.0K/mo

Other

Medical, Dental, Vision

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Etched
Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.
Job Summary
Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a sophisticated performance analysis tool, tailored specifically for Sohu. You will be instrumental in creating the essential tooling that enables our ML engineers and customers to understand workload behavior, identify performance bottlenecks, and unlock the full potential of Sohu accelerating the most demanding ML applications in the world. This is a unique opportunity to shape performance analysis for novel hardware from the ground up.
Key responsibilities
  • Lead the design and architecture of a comprehensive performance analysis suite, including data collection mechanisms, data processing pipelines, analysis engines, and user interfaces (CLI and/or GUI).
  • Develop robust methods to capture performance data directly from our custom ML accelerator hardware (e.g., hardware performance counters, execution unit status, memory access patterns) via driver interfaces or other mechanisms.
  • Implement tracing for host-side API calls (runtime libraries, driver interactions) and system-level events (CPU activity, PCIe traffic, memory usage, network contention) related to Sohu workloads.
  • Design and implement techniques to accurately correlate performance events across the host CPU, device driver, PCIe bus, multiple accelerators, and multiple hosts, ensuring precise time synchronization.
  • Build analysis modules to automatically interpret collected trace and counter data, identifying key performance limiters (e.g., compute-bound, memory bandwidth-bound, latency-bound, PCIe-bound, specific hardware bottlenecks).
  • Develop intuitive visualizations (timelines, dependency graphs, resource utilization charts, statistical summaries) to clearly communicate performance characteristics and bottlenecks to users.
  • Work closely with hardware architects, firmware engineers, driver developers, compiler engineers, and ML application engineers to understand their needs, define tool requirements, and provide expert guidance on performance analysis and optimization using the tool.
Representative projects
  • Architect and implement the core data collection framework for hardware performance counters on a custom PCIe-based accelerator.
  • Develop a kernel driver module or user-space service for low-overhead tracing of accelerator activity.
  • Design and build a correlated timeline view visualizing CPU API calls, driver submissions, PCIe transfers, and accelerator execution units.
  • Create an analysis pass to detect and quantify memory access inefficiencies or PCIe bandwidth saturation while transacting on a PCIe-attached accelerator.
You may be a good fit if you have
  • Strong proficiency in C++ or Rust
  • Proficiency in Python is a plus
  • Deep understanding of computer architecture (CPU, GPU, accelerators), memory hierarchies (caches, DRAM), and interconnects (especially PCIe).
  • Proven experience in low-level performance analysis, profiling, and bottleneck identification on complex hardware systems (GPUs, CPUs, FPGAs, or custom ASICs).
  • Experience with performance analysis tools (e.g., NVIDIA Nsight, AMD uProf, Intel VTune, perf, Tracy, ETW).
  • Experience working close to hardware, potentially reading performance counters or interacting directly with device drivers.
Strong candidates may also have experience with (Nice-to-have qualifications)
  • Direct experience developing performance analysis or debugging tools.
  • Experience with ML accelerator architectures (GPUs, TPUs, etc.).
  • Experience with kernel-mode driver development (Linux or Windows).
  • Understanding of compiler internals, code generation, and optimization.
  • In-depth knowledge of the PCIe protocol and analysis tools (PCIe analyzers).
  • Experience with multi-chip or multi-host accelerator systems (e.g., TPU pods, or NVidia DGX clusters)
  • Experience with firmware or embedded systems development.
  • Experience with hardware description languages (Verilog, VHDL) or hardware verification.
Benefits
  • Medical, dental, and vision packages with generous premium coverage
    • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2k per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in our office
  • Unlimited compute budget subject to ROI justification

How we're different
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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