Performance And Systems Engineer Jobs

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. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, p

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. As a Staff SSD Firmware Engineer at Micron Technology, Inc., you will build groundbreaking high-performance controller firmware for volatile and non-volatile memory systems. You will assist in the evaluation, creation, build, bench testing, debugging, and failure analyzes of firmware for new high-performance memory controllers and Solid State Drives (SSD) that will improve performance, while reducing power, latency and SoC (System on Chip) complexity for the target sectors. You can expect to partner multi-disciplinary Engineers seek multi-functional product development issues. You will triage failures, file bug reports, and help the development teams with isolating issues. 6-15 Years in SSD/Storage Firmware Development would be a strong plus. Strong firmware design and debug experience using assembly and C programming. Knowledge and experience of NAND flash, SSD flash translation layer, wear leveling, garbage collection. Knowledge of mass storage interfaces such as SATA, SAS, NVMe (optional but strong plus). Strong knowledge of Flash Translation Layer (FTL) and SSD firmware concepts. Knowledge of configuring and debugging issues from the usage of register settings of ASICs in an SoC and embedded firmware dev environment High level of skill in problem recreation and trapping, and in identifying performance critical algorithms for optimization. Strong skill in ARM development tools and IDE such as Eclipse Ability to scope and estimate developmen

Experienced Embedded Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for an Experienced Embedded Software Engineer to support the ADaPS organization in Huntsville, AL. ADaPS (an organization of over 100 software engineers) supports programs across the entire portfolio of Boeing products including Space Launch Systems (SLS) Upper Stage, Satellite Efforts, and Advanced Missile Defense efforts including Patriot Advanced Capability (PAC3). ADaPS specializes in implementing rapid prototyping and development programs using small, adaptable agile teams. Position Responsibilities: Develops and maintains tactical software for the PAC3 RF Seeker system Develops, analyzes, and tests software requirements, algorithms, and designs Develops, maintains, executes, and documents software tests to verify software system requirements. Supports software project management Establishes and maintains a modern software development environment, with formalized processes for development, implementation, integration, testing, documenting, and deploying software changes Communicates technical content to stakeholders Develops and deploys processes and tools Tracks and evaluates software team and supplier performance to ensure product and process conformance to project plans and industry standards Performs software research and trade studies. Troubleshoots software issues Assists in leading and mentoring junior software engineers Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.

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. • Leverage AI and advanced analytics tools to identify process variation, uncover hidden KPIVs, and accelerate root cause analysis. • Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance. • Utilize digital solutions (Copilot, Power BI, AI Agents, dashboards, etc.) to automate routine engineering analysis, reporting, and decision-making workflows. • Drive data-driven process optimization through machine learning, pattern recognition, and large-scale manufacturing data analysis. • Partner with Automation, IT, and Data Science teams to implement smart manufacturing solutions and AI-enabled process control methodologies. • Establish and maintain digital twins, predictive maintenance models, and AI-based early warning systems for process and equipment health monitoring. • Identify opportunities to reduce engineering cycle time through AI-assisted experiment design, data mining, and knowledge management platforms. • Lead AI adoption initiatives within the manufacturing organization to improve productivity, quality, cost, and operational efficiency. AI in Job Requirements: •Baseline digital fluency, with the ability to use AI-assisted tools to support research, analysis, content creation, problem-solving, or operational tasks relevant to the role. Basic Qualifications M

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. • Leverage AI and advanced analytics tools to identify process variation, uncover hidden KPIVs, and accelerate root cause analysis. • Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance. • Utilize digital solutions (Copilot, Power BI, AI Agents, dashboards, etc.) to automate routine engineering analysis, reporting, and decision-making workflows. • Drive data-driven process optimization through machine learning, pattern recognition, and large-scale manufacturing data analysis. • Partner with Automation, IT, and Data Science teams to implement smart manufacturing solutions and AI-enabled process control methodologies. • Establish and maintain digital twins, predictive maintenance models, and AI-based early warning systems for process and equipment health monitoring. • Identify opportunities to reduce engineering cycle time through AI-assisted experiment design, data mining, and knowledge management platforms. • Lead AI adoption initiatives within the manufacturing organization to improve productivity, quality, cost, and operational efficiency. AI in Job Requirements: •Baseline digital fluency, with the ability to use AI-assisted tools to support research, analysis, content creation, problem-solving, or operational tasks relevant to the role. Basic Qualifications M

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 As a Network Deployment and Maintenance Lead within Anthropic's Data Center Operations (DCO) organization, you will ensure the network inside our data halls is brought online and kept healthy across a growing fleet of partner-operated data centers. The scope is the network within and between data halls: the cluster network, management, telemetry, accelerator chip back-end networks, aggregation layer(s), as well as the cabling, optics, and switching around them. On the deployment side, you are engaged during planning and construction, and will be on site during late-stage construction through network delivery and receiving, cabling, integration, turn-up, validation, and acceptance. You will be the on site lead for structured handover of network delivery into production operations. On the maintenance side, you drive the network repair program including: break-fix and ticket flow, vendor RMA, sparing policies, and the SLAs which operations partners execute against. Finally, some of this work touches core networks, where you will partner with Anthropics WAN/Core network team to support campus/DC core network deployment and maintenance activities. This is a program and execution role. You will work with the Global Capacity Delivery Program Leads, the Repairs Program Leads, and the broader Data Center Operations organization to extend network coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on the floor at each site during network delivery, turn-up, QA, and close-out, and at sites where repair performance needs attention. Your authority comes from being on site where you fos

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 Everpure is seeking a Hardware Engineering Manager to lead a team developing and supporting high-performance storage systems. This role oversees the full hardware lifecycle, from design through production and customer support. The ideal candidate is a strong technical and people leader who can set direction, deliver results, and collaborate across the organization. WHAT YOU'LL DO Lead, mentor, and develop a team of hardware engineers. Set technical direction and execution plans for complex compute, storage, networking, and I/O systems. Own team delivery across architecture, schematic capture, PCB layout, eDVT, qualification, failure analysis, and production release. Harden and evolve hardware validation and qualification strategies, including automated testing, system stress testing, and coverage reviews. Drive root-cause and failure-analysis efforts for internal issues and customer escalations, ensuring corrective actions improve product robustness. Partner with Manufacturing, Operations, Test, Quality, and JDM/OEM partners to transition new hardware subsystems into production. Build scalable engineering processes, automation, documentation standards, and “Quality by Design” practices. Hire and retain top hardware engineering talent while creating a culture of accountability, collaboration, technical excellence, and continuous improvement. Communicate program status, ris

At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. We are looking for a Senior Software Engineer, Marketing Platform, to build the systems that help people discover Curai Health and find care. You’ll own the web, measurement, and data integration systems to support marketing and growth. What You'll do as a Senior Software Engineer, Marketing Platform In a typical day in the life of a Curai Senior Software Engineer, you’ll: Turning priorities from marketing into scoped engineering projects Define funnel events, implement client and server side tracking, and reconcile conversion data with warehouse reporting. Build SQL models and dashboards to examine cost per visit and cohort behavior Support the build pipeline and ClickHouse data behind our MTA tooling Designing, building, and maintaining web features and the APIs and data flows supporting them Investigating site performance, conversion, and data quality issues, then shipping improvements Reviewing code, improving tests and monitoring, and making technical decisions with the broader engineering team What You'll Need We recognize not everyone will have all of these requirements. If you

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 Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resol

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 Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify an

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Engineering the future of customer support — at global scale 🌍 We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction. As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them. Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale. About the role We’re now looking for a Senior Backend Engineer (Golang) to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day. What you'll be doing Build and maintain high-throughput backend servic

We are now looking for a Senior Deep Learning Software Engineer, PyTorch. NVIDIA is hiring software engineers to design and build tools used by AI engineers across the world to design, develop, and deploy AI applications scalable across thousands of GPUs. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform as well as directly contributes to PyTorch, a premiere deep learning framework. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate internationally with the PyTorch community to develop the best AI platform in the world. What you will be doing: Design and build PyTorch components that run efficiently on supercomputers with 1000s-100ks of GPUs. Collaborate with NVIDIA’s hardware and software teams to improve the overall GPU performance in PyTorch. Design, build and support production AI solutions used by enterprise customers and partners. Work with internal applied researchers to improve their AI tools. What we need to see: BS in Computer Science or Engineering (or equivalent experience). 3+ years professional experience in deep learning. Proficient with C++ programming. Strong understanding of systems software and interfaces. Demonstrated experience with Thread and Distributed Parallel Programming Demonstrated background developing large software projects. Strong verbal and written communication skills Ways to stand out from the crowd: Contributions and participation in the open source community. Familiarity with deep learning compilers. Familiarity with deep learning modeling trends. Background with CUDA Programming as well as Python.

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): Design and build the core synchronization and metadata handling logic for UniFi Drive on Windows, enabling reliable access to files across local and cloud environments. Build platform-integrated file experiences by working with Windows system behaviors and APIs, with a focus on correctness, performance, and native user expectations. Tackle non-trivial system problems that emerge in real-world usage, such as handling change, coordination, and edge cases across devices and environments. Collaborate closely with backend and infrastructure teams to align on data models, APIs, and end-to-end reliability. Work with product and design partners to translate user workflows into robust technical solutions, balancing system constraints with usability. Continuously improve performance, stability, and maintainability through measurement, profiling, and iterative refinement. Minimum Qualifications (MUST-haves) : 3+ years of professional software development experience, or equivalent experience, building and shipping production systems. Hands-on development experience on Windows, with familiarity with the Windows development ecosystem and real-world production workflows. Strong computer science fundamentals, with the ability to reason clearly about complex system behavior and e

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): Design and build the core synchronization and metadata handling logic for UniFi Drive on macOS, enabling reliable and intuitive access to files across local and cloud environments. Build platform-integrated file experiences by working with macOS system behaviors and APIs, with a focus on correctness, performance, and meeting native user expectations. Tackle non-trivial system problems that arise in real-world usage, such as handling change, coordination, and edge cases across devices and environments. Collaborate closely with backend and infrastructure teams to align on data models, APIs, and end-to-end reliability. Work with product and design partners to translate user workflows into robust technical solutions, balancing system constraints with user experience. Continuously improve performance, stability, and maintainability through measurement, profiling, and iterative refinement. Minimum Qualifications (MUST-haves) : 3+ years of professional software development experience, or equivalent experience, building and shipping production systems. Hands-on development experience on Apple platforms (macOS and/or iOS), with familiarity with the Apple development ecosystem and real-world production workflows. Strong computer science fundamentals, with the ability to reason cl

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 80% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy