System Performance Engineer Jobs

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Care Automation team builds the systems and automations that power how Toast supports its customers. Our work connects the platforms, workflows, and integrations that our Customer Care Agents rely on every day to resolve issues quickly and deliver a great customer experience. We are looking for a Senior Software Engineer to join this team and help shape the future of how these teams operate. You will contribute to building a strong technical foundation that will carry Toast through the next decade and beyond. In this role, you will design, build, and own backend services and integrations spanning Salesforce, billing systems, identity verification and AI-enabled case management workflows. You will partner closely with Salesforce developers, operations stakeholders, and AI engineers to translate complex business processes into reliable, maintainable automation. A day in the life (Responsibilities) Design, build and own backend services and APIs that power workflows for Customer Care Agents and the broader Toast team Build and maintain integrations across a complex ecosystem of internal and external systems, including Salesforce, billing middleware, document management, and iPaaS workflow automation platforms Write automated tests and participate in code reviews to maintain code quality and system reliability Monitor feature rollouts, respond to incidents, and iterate based on performance data and customer feedback Partner with product, design, and cross-functional teams to define requirements and deliver on shared goals Leverage AI-augmented development tools to increase development velocity and code quality What you'll need to thrive (Requirements) Bachelor's degree in Computer Science or a related field, or equivalent practical experience 5+ years delivering production backend s

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations secure and manage their extended enterprise while transforming their customers’ experiences. With thousands of global customers, 7,000+ app integrations, and over 200 million registered users, we are only getting started. As a member of the Developer Productivity Engineering team, you will tackle high-impact challenges across development environments, AI enablement for engineering, scalability, and stability. Grounded in Okta’s core value— Always Secure. Always On. —your work directly powers developer velocity, system reliability, and software quality at scale. You will act as a force multiplier for our engineering teams by identifying workflow bottlenecks, pioneering AI integrations, establishing best practices for code organization, and maintaining performant development environments. What You’ll Do Design & Automation: Build and ship automated solutions that allow developers to deliver features rapidly without compromising quality, stability, or security standards. Environment Performance & Tuning: Analyze local development workflows, build tools to track operational metrics, and profile/tune development environments (including codebase modifications). AI & Tooling Enablement: Leverage AI technologies across the development stack

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The High-Performance Integrated Group (HIG) develops next-generation High Bandwidth Memory (HBM) solutions for AI, machine learning, and high-performance computing applications. We are seeking an experienced HBM Architecture Engineer to define and drive the architecture of high-speed analog and mixed-signal IO subsystems for HBM products. This role focuses on PHY IO architecture, timing methodology, analog calibration schemes, and silicon learning frameworks that enable industry-leading bandwidth, power efficiency, and robustness. The successful candidate will collaborate across Design, Product Engineering, Modeling, Verification, Packaging, and System Architecture teams to define architectural requirements, drive technology innovation, and ensure successful translation from concept to silicon. As a technical leader, you will influence future HBM roadmap decisions, develop engineering methodologies, and mentor design teams on architectural principles, calibration strategies, and best practices for high-speed IO design. Key Responsibilities Define and drive next-generation HBM PHY and IO architecture , balancing performance, power, area, reliability, and manufacturability requirements. Architect high-performance transmit and receive paths , including clocking, signaling, equalization, timing alignment, and interface optimization. Define and optimize analog calibration architectures , including impedance calibration, reference v

Senior Backend Software Engineer About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Senior Back-End Engineer who is excited to build and scale systems that power intelligent data experiences. If you’re passionate about clean architecture, reliable APIs, and high-performance infrastructure — and you love working in a dynamic startup environment — we’d love to meet you. The Responsibilities Design, build, and maintain Syllo’s backend systems and APIs to support our data platform. Collaborate closely with front-end engineers, product managers, and data teams to deliver scalable, high-quality features. Write clean, maintainable, and well-tested code. Work on system design and architecture to improve performance, reliability, and scalability. Integrate data sources and third-party tools as needed to enhance platform capabilities. Participate in technical design discussions, peer code reviews, and continuous improvement initiatives. Qualifications 6+ years of professional engineering experience. Strong programming skills in Ruby or Python. Experience developing APIs using frameworks such as Ruby on Rails, Flask, or Django. Proficiency with relational databases, full-text search engines, and/or vector databases. Familiarity with distributed systems and cloud technologies (e.g., GCP, Pub/Sub, Kafka). Exce

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: Software Engineer | Java Developer 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements Bachelor's or Master's Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 1 year experience of software development experience (Java Programming) is preferable for this post Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms) Programming Languages: Spring Core, Spring Boot, Spring Security Cloud Platforms: AWS and Azure Frameworks: Common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies. Job Responsibilities ( Software Developer / Java Backend Engineer) Design & Development Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code. Technical Innovation & Problem-Solving Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios. System Architecture Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance. Full-Lifecycle Part

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - Cloud Streaming Game Services (Contractor) Aliso Viejo, CA As a part of Sony Interactive Entertainment, the Game Development & Future Technology (GDFT) organization is leading the cloud gaming and development revolution, putting console-quality video games on any device! As a Senior Software Engineer on the Cloud Streaming Game Services (CSGS) team, you’ll play a key role in the design and development of server-side applications on a large geographically distributed infrastructure. Responsibilities Design, develop, and maintain software powering the globally distributed PlayStation Cloud Streaming infrastructure Build Kubernetes controllers, operators, and system services powering infrastructure lifecycle management and orchestration Own features from design through implementation, testing, deployment, and production support Develop high-quality, maintainable code with comprehensive unit and integration testing Partner with SRE, Test and Platform Engineering to deliver reliable production services Investigate and resolve production issues with a focus on reliability and performance Contribute to architecture discussions, technical design documents, and engineering standards Effectively communicate technical approaches, project status

About the Role: Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation. As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts. Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a Developer Technology Engineer you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to accelerate RTX & DGX SoC performance for agentic use. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. What you'll be doing: Own key engagements with our fast-paced developer ecosystem partners, optimizing their applications to deliver outstanding end-to-end performance on RTX and DGX SoCs. Take ownership of performance optimization for compute-intensive CPU, AI, and 3D graphics workloads, working with domain experts to identify bottlenecks and implement effective solutions. Work across system software, GPU driver, architecture, and NVIDIA Research teams to influence next-generation, high-performance SoC platforms by bringing real-world workflows and actionable insights from partner and customer needs. Provide technical guidance and mentorship to junior engineers while contributing to an inclusive and high-performing team environment. What we need to see: BS or MS degree in Computer Science, Engineering, Mathematics or related degree (or equivalent experience) 5+ years of respective work experience as software developer Proficiency in C/C++, Python, software

Power Electronics Hardware Engineer Location: Liberty Lake, WA Infinitum is a cutting-edge company committed to pushing the boundaries of innovation in the realm of motors and motor drive systems. Our mission is to deliver sustainable and efficient power solutions that redefine industry standards. We are currently seeking a highly skilled and experienced Power Electronics Engineer to lead our power electronics design and development initiatives. Position Overview: As a Power Electronics Engineer at Infinitum, you will be responsible for the design, development, and optimization of power electronics systems. This role demands a deep understanding of power conversion technologies, a track record of successful product development, and the ability to work with a team of engineers to deliver high-performance solutions. Responsibilities: Power Electronics Design: Design and develop advanced power electronics systems, including converters, inverters, and power supplies, from concept to production. Emphasis on Variable Frequency Drive development and Active Front Ends. System Optimization: Optimize power electronics systems for efficiency, reliability, and performance. Conduct thorough analysis and simulations to validate designs. New Technology Evaluation: Stay abreast of emerging technologies and industry trends in power electronics. Evaluate and integrate new technologies that enhance product performance. Prototyping and Testing: Oversee the prototyping and testing of power electronics systems. Collaborate with cross-functional teams to ensure seamless integration with other system components. Regulatory Compliance: Ensure that power electronics designs comply with relevant industry standards and regulations. Work closely with certification engineering team for certifications as needed. Collaboration: Work closely with cross-functional teams, including hardware and software engineers, to integrate power electronics solutions into overall product architectures. Doc

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are hiring a senior quality engineer to own System Testing for Pure’s FlashArray products. You will validate stability, resiliency, and performance under sustained, production‑like workloads , far beyond basic functional testing. You will design and run multi‑week, customer‑like scenarios that combine workloads, failovers, upgrades, and fault injections, and use the insights to influence architecture, design, and release decisions. This is a hands‑on, high‑impact role at the intersection of architecture, systems, and large‑scale testing—acting as a key quality gate before releases reach Pure’s customers. WHAT YOU'LL DO Own System Testing strategy for releases Define System Testing strategy and test plans for major features and releases, focusing on stability, longevity, and end‑to‑end behavior, not just feature correctness. Design realistic, high‑value scenarios Build scenarios that mirror Pure customer environments: mixed workloads (block, file, object), long‑running IO, failovers, NDUs, hardware events, and background operations (replication, snapshots, quotas, etc.), combining automation with targeted “tortures”. Drive execution and triage on System Testing beds Own System Testing environments (arrays, initiators, OSes, accessories); keep them healthy, representative, and well‑instrumented. Monitor runs, triage failures quickly, separate infra issues from product bugs, and file high‑quality defe

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Automation Engineer is responsible for designing, developing, and maintaining security automation solutions that enhance detection, response, workflow efficiency, and operational consistency across Operational Security. Working under the Automation Lead, this role builds high-quality SOAR playbooks, integrations, scripts, AI-assisted workflows, and orchestration pipelines to reduce manual workloads and support the Autonomic Security Operations (ASO) model. What you'll be doing: Core Responsibilities Automation Engineering & Development Develop SOAR playbooks, workflows, and automations for alert triage, enrichment, containment, and remediation. Build scalable, reusable automation components, scripts, and integrations. Implement high-quality scripting using Python, PowerShell, and REST APIs. Ensure appropriate version control, QA, testing, and documentation of automation artefacts. Maintain reliability of automations by monitoring performance, exceptions, and system behaviour. Platform Integration & Tooling Engineering Integrate SOAR with SIEM, EDR, TIP, cloud-native secur

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization . Our mission is to build the next generation of high-performance and intelligent inference systems . We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering , using AI not only as the workload we optimize, but also as a tool to accelerate system deve

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is seeking a Staff Software Engineer to help evolve the serving platforms that power Ads and Core experiences. You will lead large-scale, low-latency distributed-system initiatives that make our serving stack more performant, reliable, observable, and easier to extend. You will work across Ads and Core engineering teams to define durable platform capabilities, modernize frameworks, and unlock faster product iteration with high confidence in production. What you’ll do: Set technical direction and lead architecture for major serving-platform initiatives across Ads and Core. Build and operate scalable, highly available systems with clear performance, reliability, and efficiency goals. Partner with product, ML, infrastructure, and Core/Ads engineering teams to translate complex requirements into reusable platform capabilities.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in prod