performance engineer

Qualcomm

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  Job Area
  <br/>
  <br/>
 </strong>
 Engineering Group, Engineering Group &gt; Systems Engineering
 <br/>
 <br/>
 <strong>
  General Summary
  <br/>
  <br/>
 </strong>
 <strong>
  About us
  <br/>
  <br/>
 </strong>
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 <br/>
 <br/>
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 <br/>
 <br/>
 Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
 <br/>
 <br/>
 <strong>
  <em>
   We are hiring
  </em>
 </strong>
 <strong>
  <em>
   an AI
  </em>
 </strong>
 <strong>
  <em>
   Performance Engineers
  </em>
 </strong>
 <strong>
  <em>
   at multiple levels to join our dynamic, collaborative team.
   <br/>
   <br/>
  </em>
 </strong>
 This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
 <br/>
 <br/>
 <strong>
  This Role Involves The Following Activities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
  </li>
  <li>
   Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
  </li>
  <li>
   Performance analysis and optimization of LLM, VLM, and diffusion models for inference.  Scale performance for throughput and latency constraints.
  </li>
  <li>
   Mapping the next generation AI workloads on top of current and future hardware designs.
  </li>
  <li>
   Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
  </li>
  <li>
   Analyze complex performance or stability issues to work towards final root cause of underlying problems.
  </li>
  <li>
   Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.
  </li>
  <li>
   Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Will Demonstrate The Following
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.
  </li>
  <li>
   Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.
  </li>
  <li>
   Experience in workload mapping strategies exhibiting sharding or various parallelisms.
  </li>
  <li>
   Strong Python programming skills.
  </li>
  <li>
   Proactive learning about the latest inference optimization techniques.
  </li>
  <li>
   Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
  </li>
  <li>
   Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.
  </li>
  <li>
   MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Background in neural network operators and mathematical operations, including linear algebra and math libraries.
  </li>
  <li>
   Understanding of machine learning compilers.
  </li>
  <li>
   Experience in converging accuracy and its evaluation methods.
  </li>
  <li>
   Knowledge of torch.compile or torchDynamo.
  </li>
  <li>
   PhD in Computer Science, Computer Engineering or Machine Learning
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What's On Offer
  <br/>
  <br/>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <ul>
  <li>
   Salary including housing &amp; transport allowance
  </li>
  <li>
   Stock (RSU's) and performance related bonus
  </li>
  <li>
   16 weeks fully paid Maternity Leave
  </li>
  <li>
   6 weeks fully paid Paternity Leave
  </li>
  <li>
   Employee stock purchase scheme
  </li>
  <li>
   Child Education Allowance
  </li>
  <li>
   Relocation and immigration support (if needed)
  </li>
  <li>
   Life and Medical Insurance
  </li>
  <li>
   Live+ Well Reimbursement for health and recreational membership fees
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <li>
   References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 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).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : 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.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


AI Performance Engineer (Competitive & Network Analysis) - Riyadh, KSA

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a Senior Performance Testing QA Engineer with a strong background in Test Automation and Cloud-native applications. In this role, you will be responsible for validating the performance, scalability, and reliability of the highly available Capital Markets analytics platforms while helping drive quality engineering best practices across the organization.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>What You'll Do
</p></div><div><p>Design, develop, execute, and maintain performance, load, stress, endurance, and scalability tests.
</p></div><div><p>Build and enhance JMeter test frameworks and scripts, including JavaScript-based scripting and customization.
</p></div><div><p>Develop and maintain automated test solutions using C# and Selenium WebDriver.
</p></div><div><p>Analyze application and infrastructure performance to identify bottlenecks, risks, and optimization opportunities.
</p></div><div><p>Collaborate with Engineering, Product, and DevOps teams to define and validate non-functional requirements and performance SLAs.
</p></div><div><p>Produce clear performance reports and recommendations for stakeholders.
</p></div><div><p>Contribute to CI/CD pipelines and drive automation of testing and reporting activities.
</p></div><div><p>Continuously improve performance engineering practices, tools, and processes.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Proven experience as a Performance Test Engineer, NFR QA Engineer, or similar role.
</p></div><div><p>Strong hands-on expertise with:
</p></div><div><p>JMeter (JavaScript-based scripting)
</p></div><div><p>C#
</p></div><div><p>Selenium WebDriver
</p></div><div><p>Solid understanding of load, stress, scalability, capacity, and endurance testing methodologies.
</p></div><div><p>Experience with API performance testing and troubleshooting complex distributed systems.
</p></div><div><p>Knowledge of AI-assisted engineering tools such as GitHub Copilot.
</p></div><div><p>Hands-on AWS experience, including:
</p></div><div><p>EC2
</p></div><div><p>ECS
</p></div><div><p>CloudWatch
</p></div><div><p>Strong analytical, debugging, and problem-solving skills.
</p></div><div><p>Excellent communication and collaboration abilities.
</p></div><div><p>Skills: Performance Testing
</p></div><div><p>NFR Testing
</p></div><div><p>JMeter
</p></div><div><p>JavaScript
</p></div><div><p>C#
</p></div><div><p>Selenium WebDriver
</p></div><div><p>AWS
</p></div><div><p>ECS
</p></div><div><p>EC2
</p></div><div><p>CloudWatch
</p></div><div><p>Test Automation
</p></div><div><p>CI/CD
</p></div><div><p>Quality Engineering
</p></div><div><p>Performance Engineering
</p></div></div><p>Nice to have
</p><div><div><p>Experience with CI/CD tools such as Azure DevOps, TeamCity, Jenkins, GitHub Actions, or GitLab CI.
</p></div><div><p>Knowledge of Docker, Kubernetes, and containerized environments.
</p></div><div><p>Experience with observability tools such as Grafana, Prometheus, Splunk, or OpenTelemetry.
</p></div><div><p>Experience with Postman, Rest Assured, or LoadRunner.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Noida, India
</p></div><p>Req. VR-124005
</p></div><div></div><div><div><p>Automated Testing Others
</p></div><div><p>BCM Industry</p>
</div><div><p>28/08/2026
</p></div><div><p>Req. VR-124005</p></div></div></div><p></p>

Senior Performance QA Engineer (C#, JS)

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a Senior Performance Testing QA Engineer with a strong background in Test Automation and Cloud-native applications. In this role, you will be responsible for validating the performance, scalability, and reliability of the highly available Capital Markets analytics platforms while helping drive quality engineering best practices across the organization.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>What You'll Do
</p></div><div><p>Design, develop, execute, and maintain performance, load, stress, endurance, and scalability tests.
</p></div><div><p>Build and enhance JMeter test frameworks and scripts, including JavaScript-based scripting and customization.
</p></div><div><p>Develop and maintain automated test solutions using C# and Selenium WebDriver.
</p></div><div><p>Analyze application and infrastructure performance to identify bottlenecks, risks, and optimization opportunities.
</p></div><div><p>Collaborate with Engineering, Product, and DevOps teams to define and validate non-functional requirements and performance SLAs.
</p></div><div><p>Produce clear performance reports and recommendations for stakeholders.
</p></div><div><p>Contribute to CI/CD pipelines and drive automation of testing and reporting activities.
</p></div><div><p>Continuously improve performance engineering practices, tools, and processes.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Proven experience as a Performance Test Engineer, NFR QA Engineer, or similar role.
</p></div><div><p>Strong hands-on expertise with:
</p></div><div><p>JMeter (JavaScript-based scripting)
</p></div><div><p>C#
</p></div><div><p>Selenium WebDriver
</p></div><div><p>Solid understanding of load, stress, scalability, capacity, and endurance testing methodologies.
</p></div><div><p>Experience with API performance testing and troubleshooting complex distributed systems.
</p></div><div><p>Knowledge of AI-assisted engineering tools such as GitHub Copilot.
</p></div><div><p>Hands-on AWS experience, including:
</p></div><div><p>EC2
</p></div><div><p>ECS
</p></div><div><p>CloudWatch
</p></div><div><p>Strong analytical, debugging, and problem-solving skills.
</p></div><div><p>Excellent communication and collaboration abilities.
</p></div><div><p>Skills: Performance Testing
</p></div><div><p>NFR Testing
</p></div><div><p>JMeter
</p></div><div><p>JavaScript
</p></div><div><p>C#
</p></div><div><p>Selenium WebDriver
</p></div><div><p>AWS
</p></div><div><p>ECS
</p></div><div><p>EC2
</p></div><div><p>CloudWatch
</p></div><div><p>Test Automation
</p></div><div><p>CI/CD
</p></div><div><p>Quality Engineering
</p></div><div><p>Performance Engineering
</p></div></div><p>Nice to have
</p><div><div><p>Experience with CI/CD tools such as Azure DevOps, TeamCity, Jenkins, GitHub Actions, or GitLab CI.
</p></div><div><p>Knowledge of Docker, Kubernetes, and containerized environments.
</p></div><div><p>Experience with observability tools such as Grafana, Prometheus, Splunk, or OpenTelemetry.
</p></div><div><p>Experience with Postman, Rest Assured, or LoadRunner.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Hyderabad, IN, India
</p></div><p>Req. VR-124005
</p></div><div></div><div><div><p>Automated Testing Others
</p></div><div><p>BCM Industry</p>
</div><div><p>28/08/2026
</p></div><div><p>Req. VR-124005</p></div></div></div><p></p>

AMTECH SOFTWARE

<div><p><b>About Vista Equity Partners</b>
<br>
Vista Equity Partners is a leading global investment firm focused exclusively on enterprise software, data, and technology-enabled businesses. With over $100B in assets under management and a portfolio of 90+ software product companies worldwide, Vista accelerates growth through operational excellence, shared expertise, and long-term partnership. In India, Vista&rsquo;s presence continues to expand with 45+ portfolio companies employing more than 17,000 professionals across technology, product, customer success, and operations &mdash; reinforcing India&rsquo;s strategic role as a hub of innovation and talent within the Vista ecosystem.
<br>
Through its Agentic AI Factory, Vista is embedding Generative AI across its global portfolio &mdash; enabling companies to integrate intelligent, responsible AI into products, operations, and decision-making. This initiative is strengthened through portfolio-wide learning programs, leadership workshops, and AI hackathons that foster innovation, build fluency, and accelerate practical AI adoption across teams.</p>
<p><b>
About Amtech</b>
<br>
Amtech is a leading provider of enterprise software solutions for the packaging, printing, and manufacturing industries. Our integrated systems streamline order management, production planning, scheduling, inventory, and business analytics &mdash; empowering customers to drive efficiency, reduce costs, and improve operational performance. With a strong commitment to innovation and customer success, Amtech delivers reliable technology backed by deep industry expertise.
<br>
With Vista&rsquo;s investment and strategic guidance, we combine the agility of a growing technology organization with the scale, stability, and career mobility of a global software ecosystem.</p>
<p><b>
Our Employee Value Proposition</b>
<br>
At Amtech, our people are our greatest differentiator. We create an environment where you can:</p>
<p><b>
Purpose</b><br>
Shape the future of manufacturing and supply chain operations by delivering mission-critical enterprise software used by industry-leading organizations.</p>
<p><b>
Growth</b><br>
Access continuous learning, leadership development, and cross-portfolio opportunities through Vista&rsquo;s global network &mdash; accelerating both technical and managerial career paths.</p>
<p><b>
Culture</b><br>
Work in a collaborative, transparent, and people-first environment where values, accountability, and integrity guide every decision.</p>
<p><b>
Innovation</b><br>
Engage with cutting-edge technologies, including AI-driven automation, and contribute to modernizing financial systems and operational processes across the business.<br>
<b>Role Description</b>
<br>
Amtech is seeking an experienced <b>Performance Test Architect</b> to define and drive the performance engineering strategy for enterprise-scale, distributed, cloud-native applications. The ideal candidate will bring deep expertise in performance testing, workload modeling, capacity planning, observability, application bottleneck analysis, and production-readiness validation.
<br>
This role requires someone who can operate beyond traditional performance testing&mdash;partnering with architects, developers, DevOps/SRE teams, product owners, and engineering leadership to identify scalability risks early, establish measurable non-functional requirements, and ensure systems can reliably support expected business growth and peak workloads.
<br>
The profile is particularly suited to someone with extensive experience leading performance engineering for high-throughput systems, microservices, cloud platforms, messaging systems, e-commerce, and customer-facing applications, including load testing, capacity planning, JVM/database analysis, observability, Kubernetes, and distributed systems.</p>
<p><b>
Key Responsibilities</b>
<br>
<b>Performance Strategy &amp; Architecture</b></p>
<ul>
<li>Define performance engineering strategies, standards, NFRs, KPIs, SLAs/SLOs, workload models, and release criteria.</li>
<li>Participate in requirements, architecture, database, infrastructure, and design reviews to identify performance risks early.</li>
<li>Design and execute baseline, load, stress, spike, endurance, scalability, capacity, volume, failover, and resilience tests.</li>
<li>Develop realistic workload models based on customer usage, business volumes, production traffic, concurrency, and forecasted growth.
</li><li>Develop reusable performance solutions using JMeter, k6, Gatling, Locust, LoadRunner, NeoLoad, or similar tools.</li>
<li>Establish production-readiness and performance quality criteria for major releases.</li>
</ul>
<p><b>Performance Analysis &amp; Optimization</b></p>
<ul>
<li>Analyze response time, throughput, latency, concurrency, error rates, CPU, memory, network, database, and infrastructure utilization.</li>
<li>Identify bottlenecks across UI, APIs, microservices, databases, messaging, network, infrastructure, containers, and cloud platforms.</li>
<li>Correlate logs, APM data, distributed traces, database metrics, infrastructure telemetry, and application code to identify root causes.</li>
<li>Perform JVM, threading, connection-pool, caching, timeout, retry, queue, and autoscaling analysis.
</li><li>Perform SQL performance analysis including execution plans, indexing, locking, blocking, waits, I/O, and connection pooling.</li>
<li>Partner with engineering teams to recommend, implement, and validate performance optimizations.
</li><li>Lead root-cause analysis of production performance issues and recurring regressions.</li>
</ul>
<p><b>Scalability, Capacity &amp; Resilience</b></p>
<ul>
<li>Validate horizontal and vertical scalability, autoscaling, application stability, and infrastructure capacity.
</li><li>Develop capacity models and recommend infrastructure sizing based on workload growth and utilization trends.
</li><li>Analyze Kubernetes pods, CPU/memory limits, HPA behavior, database capacity, thread pools, connections, and queue depths.
</li><li>Validate application behavior during peak workloads, infrastructure saturation, downstream failures, failover, and recovery.</li>
<li>Support capacity planning and production readiness for major launches and business-critical events.
</li><li>Identify cloud and infrastructure optimization opportunities while maintaining performance and reliability.</li>
</ul>
<p><b>Automation &amp; Continuous Performance Testing</b></p>
<ul>
<li>Build reusable performance testing frameworks, utilities, and automated regression suites.
</li><li>Integrate performance testing into CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, GitLab CI, or equivalent tools.
</li><li>Automate test data preparation, execution, monitoring, analysis, baseline comparison, and reporting.
</li><li>Establish automated performance quality gates and regression detection.
</li><li>Track performance baselines and trends across releases to proactively identify degradation before production.</li>
</ul>
<p><b>Observability &amp; Front-End Performance</b></p>
<ul>
<li>Define observability requirements and create dashboards for performance analysis and production-readiness assessments.</li>
<li>Use tools such as Grafana, Prometheus, Splunk, Datadog, Dynatrace, New Relic, AppDynamics, Kibana, and InfluxDB.</li>
<li>Evaluate browser performance, Core Web Vitals, page rendering, network activity, and responsiveness using Chrome DevTools, Lighthouse, WebPageTest, or Playwright tracing.</li>
</ul>
<p><b>Quality Engineering &amp; Technical Leadership</b></p>
<ul>
<li>Collaborate with Quality Engineers, Developers, Architects, Database, DevOps/SRE, and Infrastructure teams on functional and non-functional quality.
</li><li>Produce clear performance reports highlighting findings, trends, risks, capacity constraints, and recommendations.
</li><li>Mentor engineers on performance engineering practices and promote a performance-first quality mindset.
</li><li>Represent Performance Engineering in architecture, design, and release-readiness reviews.
</li><li>Introduce approved AI-assisted performance engineering approaches for workload modeling, script generation, log analysis, result interpretation, RCA, and defect investigation.</li>
</ul>
<p><b>Skills &amp; Qualifications</b></p>
<ul>
<li>Bachelor's degree in computer science, Engineering, Information Technology, or equivalent experience.</li>
<li>12+ years of Quality/Performance Engineering experience, with significant hands-on performance engineering expertise.
</li><li>Experience as a Performance Architect, Principal Performance Engineer, Performance Lead, or equivalent senior technical role.
</li><li>Strong experience with JMeter, k6, Gatling, Locust, LoadRunner, NeoLoad, or equivalent tools.</li>
<li>Strong knowledge of workload modeling, scalability, capacity planning, resilience, and performance analysis.</li>
<li>Experience with On-Premises, SaaS, cloud, hybrid, microservices, and distributed applications.</li>
<li>Strong understanding of HTTP, REST APIs, GraphQL, WebSockets, caching, messaging, and asynchronous processing.</li>
<li>Strong SQL and database performance troubleshooting skills; experience with SQL Server, Oracle, MySQL, or PostgreSQL is desirable.</li>
<li>Experience with Java/JVM performance concepts including GC, memory, threading, and concurrency.
</li><li>Experience with observability/APM platforms and distributed tracing.
</li><li>Working knowledge of Linux, Windows Server, networking, containers, Kubernetes, AWS and/or Azure.
</li><li>Experience integrating performance tests into CI/CD pipelines.
</li><li>Programming or scripting experience in JavaScript, Java, Python, C#, Shell, or similar languages.
</li><li>Strong analytical, troubleshooting, communication, mentoring, and stakeholder-management skills.</li>
</ul>
<p><b>Preferred Experience</b></p>
<ul>
<li>High-throughput and highly concurrent enterprise applications.
</li><li>SaaS, retail, telecom, e-commerce, messaging, or customer-facing platforms.
</li><li>Kafka, RabbitMQ, Redis, Elasticsearch, or similar distributed technologies.
</li><li>Cloud capacity optimization and infrastructure right-size.
</li><li>Resilience and production-readiness engineering.
</li><li>AI-assisted performance analysis and engineering automation.</li>
</ul>
<p><b>W</b><b>hy Join Amtech</b></p>
<p>
At Amtech, you will drive meaningful financial impact in a growing enterprise software organization while benefiting from Vista&rsquo;s world-class ecosystem. You&rsquo;ll collaborate with talented peers, leverage cross-portfolio learning programs, and help shape the future of Amtech&rsquo;s financial operations and systems. Build your career with Amtech &mdash; <b>backed by the strength, scale, and innovation culture of Vista.</b></p></div>

Performance Test Architect

Brave

<div>
 <p>
  <strong>
   AI Systems Researcher / Research Engineer
  </strong>
 </p>
 <p>
  <strong>
   UK: London (Preferred) - Hybrid
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Brave
  </strong>
 </p>
 <p>
  Brave is on a mission to protect the human right to privacy online. We&rsquo;ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a
  <em>
   truly
  </em>
  independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what&rsquo;s true and what&rsquo;s not. Brave is fighting back. Join us!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Summary
  </strong>
 </p>
 <p>
  Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We&rsquo;re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you&rsquo;re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you
  </strong>
 </p>
 <p>
  An ideal candidate will have a mix of skills that include the following:
 </p>
 <ul>
  <li>
   Demonstrates a high level of initiative and consistently delivers high-quality solutions
  </li>
  <li>
   Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
  </li>
  <li>
   Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
  </li>
  <li>
   Want to be part of a high-growth startup company with global ambitions
  </li>
  <li>
   Experience with software development practices (Python, C++, JavaScript and/or Rust)
  </li>
  <li>
   Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
  </li>
  <li>
   Comfortable working in an open-source setting
  </li>
  <li>
   Able to create and deploy mobile/desktop applications and systems
  </li>
  <li>
   Has a passion for helping protect users&rsquo; privacy and security
  </li>
  <li>
   A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Specific Skills
  </strong>
 </p>
 <ul>
  <li>
   Background and/or previous work in AI systems research and performance evaluation.
  </li>
  <li>
   Expertise in optimizing and evaluating ML models and/or privacy &amp; security technologies for on-device performance.
  </li>
  <li>
   Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills That Will Set You Apart from the Competition
  </strong>
 </p>
 <ul>
  <li>
   ML Systems (pipelines, performance evaluation, etc.)
  </li>
  <li>
   Open source projects on mobile/desktop systems optimization
  </li>
  <li>
   Experience with confidential computing and security/privacy protocols
  </li>
  <li>
   Ph.D. in computer science from a top-tier school
  </li>
  <li>
   A strong publication record in premier systems, performance, or ML
  </li>
  <li>
   Work experience in industry is desirable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Working at Brave - What we offer
  </strong>
 </p>
 <ul>
  <li>
   Ability to work at an exciting and well-funded international startup headquartered in San Francisco
  </li>
  <li>
   Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
  </li>
  <li>
   Competitive compensation and plenty of room for personal growth
  </li>
  <li>
   Great international exposure and team atmosphere
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are looking to hire in London but would
  <em>
   consider
  </em>
  an exceptional candidate in the rest of Europe.
 </p>
 <p>
  <br/>
 </p>
 <p>
  NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.
 </p>
 <p>
  <br/>
 </p>
</div>


AI Systems Researcher/Research Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Our trading technology stack is undergoing a multi‑year convergence and modernization journey. You will play a pivotal role in shaping our next‑generation SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fast‑paced front‑office environments, enjoys direct interaction with traders, and wants to influence the reliability culture of a major global trading organization.</p><p>
As a Lead Site Reliability Engineer at JPMorgan Chase within J.P. Morgan Asset Management's Trading Technology group, you will be embedded directly within the software engineering team that builds and supports our front‑office trading platforms.</p><p>
</p><p>Job Responsibilities:</p><ul><li>
Engage daily with traders across asset classes (Equities, Fixed Income, FX) to understand workflows, pain points, and reliability priorities.</li><li>
Act as a trusted engineering partner to the desk, ensuring systems are stable, performant, and aligned with business needs.</li><li>
Support live trading environments, including incident response, root cause analysis, and post mortem leadership. Work as a core member of the software engineering team, participating in daily standups and design discussions.</li><li>
Contribute directly to the codebase (Java, Kotlin, Python) to implement reliability improvements, performance optimisations, bug fixes, and automation.</li><li>
Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self healing workflows, and resilience engineering.
</li><li>Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.</li><li>
Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.</li><li>
Drive improvements in latency, throughput, and stability across high volume trading applications.</li><li>
Build and maintain tooling for monitoring, alerting, and distributed tracing across global environments.</li><li>
Operate within a globally distributed engineering and trading organization, collaborating with teams in EMEA, US, and APAC.</li><li>
Partner with infrastructure, networking, cloud engineering, and cybersecurity teams to ensure end to end reliability.</li></ul><p>
</p><p>Required Qualifications, Capabilities, and Skills:</p><ul><li>
Strong hands on experience in front office trading environments or similarly high pressure, low latency domains.</li><li>
Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB</li><li>
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.</li><li>
Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.</li><li>
Deep knowledge of reliability engineering principles: SLIs/SLOs, real-time telemetry, disaster recovery planning, capacity planning, and performance tuning.</li><li>
Experience designing and implementing observability frameworks for mission critical systems.</li><li>
Proven ability to lead incident response and drive long term remediation.</li><li>
Solid programming skills in Python, Java, or Kotlin, with the ability to contribute production grade code. Experience with microservices, distributed systems, and event driven architectures.</li><li>
Strong understanding of CI/CD pipelines, automated testing, and deployment strategies.</li><li>
Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly and decisively in high pressure situations.</li><li>
Strong leadership presence with a collaborative mindset.</li></ul>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Lead Site Reliability Engineer

Huawei Technologies Research & Development (UK) Ltd

<div>
 <strong>
  About Huawei Research And Development UK Limited
  <br/>
  <br/>
 </strong>
 Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.
 <br/>
 <br/>
 Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they&rsquo;re at home, in the office, or on the go.
 <br/>
 <br/>
 This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.
 <br/>
 <br/>
 For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
 <br/>
 <br/>
 <strong>
  This strategic focus is a reflection of our core values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Staying customer-centric,
  </li>
  <li>
   Inspiring dedication,
  </li>
  <li>
   Persevering,
  </li>
  <li>
   Growing by reflection.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Huawei Research And Development UK Limited Overview
  <br/>
  <br/>
 </strong>
 Huawei&rsquo;s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a skilled AI Compiler Optimization Engineer to optimize AI model inference performance through advanced compiler technologies. You will focus on performance tuning for CPU or hybrid CPU/XPU heterogeneous architectures, profiling AI frameworks to discover new optimization opportunities, and delivering cutting-edge insights from industry research.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 Compiler-Based Performance Optimization:
 <br/>
 <br/>
 <ul>
  <li>
   Implement compiler techniques (e.g., MLIR level optimizations, LLVM backend optimizations) to enhance inference performance on CPU and CPU/XPU hybrid systems
  </li>
  <li>
   Optimize JIT level compute graphs with operator fusion, memory allocation and etc. for latency/throughput improvements
  </li>
  <li>
   Preferred: Experience with LLVM/MLIR development
   <br/>
   <br/>
  </li>
 </ul>
 AI Model Profiling &amp; Framework Optimization:
 <br/>
 <br/>
 <ul>
  <li>
   Profile end-to-end inference workflows on frameworks like TensorFlow, PyTorch, ONNX, and llama.cpp to identify hotspots and bottlenecks
  </li>
  <li>
   Propose and implement optimization strategies (e.g., kernel tuning, graph-level optimizations)
  </li>
  <li>
   Preferred: Experience optimizing models on multiple AI frameworks
   <br/>
   <br/>
  </li>
 </ul>
 Research &amp; Insight Development:
 <br/>
 <br/>
 <ul>
  <li>
   Track and analyze the latest advancements in AI &amp; compiler research (academic papers, open-source projects)
  </li>
  <li>
   Produce actionable insight reports summarizing trends, benchmarks, and potential optimizations
  </li>
  <li>
   Preferred: Strong technical writing skills with prior publications or reports
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
  <br/>
  <br/>
 </em>
 <strong>
  Person Specification:
  <br/>
  <br/>
 </strong>
 <strong>
  Required:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in C/C++ and compiler infrastructure (LLVM, MLIR, or similar)
  </li>
  <li>
   Deep understanding of AI model architectures and inference workflows
  </li>
  <li>
   Experience with performance profiling tools (e.g., perf, TensorBoard, VTune)
  </li>
  <li>
   Familiarity with CPU/XPU hardware architectures and optimization techniques
  </li>
  <li>
   Strong analytical and problem-solving skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BSc/MSc/MSci in CS
  </li>
  <li>
   Contributions to open-source compiler projects (LLVM/MLIR communities)
  </li>
  <li>
   Experience with heterogeneous computing (CPU/GPU/XPU)
  </li>
  <li>
   Published work or technical blogs on AI/compiler optimization topics
  </li>
  <li>
   Good at self-learning, courageous to explore new things, strong in practical skill
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   33 days annual leave entitlement per year (including UK public holidays)
  </li>
  <li>
   Group Personal Pension
  </li>
  <li>
   Life insurance
  </li>
  <li>
   Private medical insurance
  </li>
  <li>
   Medical expense claim scheme
  </li>
  <li>
   Employee Assistance Program
  </li>
  <li>
   Cycle to work scheme
  </li>
  <li>
   Company sports club and social events
  </li>
  <li>
   Additional time off for learning and development
  </li>
 </ul>
</div>


AI Compiler Optimization Engineer

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