Performance And Systems Engineer Jobs

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

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 We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications Demonstrated experience training and evaluating large language models Proficiency in Python and familiarity with modern ML development practices Experience building and managing data pipelines for large-scale datasets Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications 8+ years of machine learning experience Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, comp

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a Senior Engineer to deepen our team's knowledge in ingestion, processing, storage, and distribution of media at global scale. You’ll help us build, operate, and scale the media platform that powers Reddit for hundreds of millions of users around the world. As a Senior Engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to build Reddit’s next generation media platform and to ensure all of our systems have high uptime and strong performance while working with your team to build a roadmap to match the needs of an ever growing engineering organization and to fuel the next wave of Reddit’s growth. Additionally, as part of The Core Systems & Libraries team you’ll design, build, and run many critical foundational services, platforms, and libraries (media and non-media) that all engineering teams at Reddit rely on to serve our users and partners. Join us and help build the future of Reddit! You will: Develop and design new and innovative solutions to scaling Reddit Build platform API projects that scale to the rest of the organization Mentor and coach more junior engineers on your direct team to achieve our mission Build, deliver, and operate services that scale to millions of transactions per second at 5+ 9’s of availability Help us to optimize Reddit’s media experience for hundreds of millions of users across the world. You have: Strong software development experience in one or more general purpose programming languages; Python, Go or

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a Senior Engineer to deepen our team's knowledge in ingestion, processing, storage, and distribution of media at global scale. You’ll help us build, operate, and scale the media platform that powers Reddit for hundreds of millions of users around the world. As a Senior Engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to build Reddit’s next generation media platform and to ensure all of our systems have high uptime and strong performance while working with your team to build a roadmap to match the needs of an ever growing engineering organization and to fuel the next wave of Reddit’s growth. Additionally, as part of The Core Systems & Libraries team you’ll design, build, and run many critical foundational services, platforms, and libraries (media and non-media) that all engineering teams at Reddit rely on to serve our users and partners. Join us and help build the future of Reddit! You will: Develop and design new and innovative solutions to scaling Reddit Build platform API projects that scale to the rest of the organization Mentor and coach more junior engineers on your direct team to achieve our mission Build, deliver, and operate services that scale to millions of transactions per second at 5+ 9’s of availability Help us to optimize Reddit’s media experience for hundreds of millions of users across the world. You have: Strong software development experience in one or more general purpose programming languages; Python, Go or

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a Senior Engineer to deepen our team's knowledge in ingestion, processing, storage, and distribution of media at global scale. You’ll help us build, operate, and scale the media platform that powers Reddit for hundreds of millions of users around the world. As a Senior Engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to build Reddit’s next generation media platform and to ensure all of our systems have high uptime and strong performance while working with your team to build a roadmap to match the needs of an ever growing engineering organization and to fuel the next wave of Reddit’s growth. Additionally, as part of The Core Systems & Libraries team you’ll design, build, and run many critical foundational services, platforms, and libraries (media and non-media) that all engineering teams at Reddit rely on to serve our users and partners. Join us and help build the future of Reddit! You will: Develop and design new and innovative solutions to scaling Reddit Build platform API projects that scale to the rest of the organization Mentor and coach more junior engineers on your direct team to achieve our mission Build, deliver, and operate services that scale to millions of transactions per second at 5+ 9’s of availability Help us to optimize Reddit’s media experience for hundreds of millions of users across the world. You have: Strong software development experience in one or more general purpose programming languages; Python, Go or

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a Senior Engineer to deepen our team's knowledge in ingestion, processing, storage, and distribution of media at global scale. You’ll help us build, operate, and scale the media platform that powers Reddit for hundreds of millions of users around the world. As a Senior Engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to build Reddit’s next generation media platform and to ensure all of our systems have high uptime and strong performance while working with your team to build a roadmap to match the needs of an ever growing engineering organization and to fuel the next wave of Reddit’s growth. Additionally, as part of The Core Systems & Libraries team you’ll design, build, and run many critical foundational services, platforms, and libraries (media and non-media) that all engineering teams at Reddit rely on to serve our users and partners. Join us and help build the future of Reddit! You will: Develop and design new and innovative solutions to scaling Reddit Build platform API projects that scale to the rest of the organization Mentor and coach more junior engineers on your direct team to achieve our mission Build, deliver, and operate services that scale to millions of transactions per second at 5+ 9’s of availability Help us to optimize Reddit’s media experience for hundreds of millions of users across the world. You have: Strong software development experience in one or more general purpose programming languages; Python, Go or

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a Senior Engineer to deepen our team's knowledge in ingestion, processing, storage, and distribution of media at global scale. You’ll help us build, operate, and scale the media platform that powers Reddit for hundreds of millions of users around the world. As a Senior Engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to build Reddit’s next generation media platform and to ensure all of our systems have high uptime and strong performance while working with your team to build a roadmap to match the needs of an ever growing engineering organization and to fuel the next wave of Reddit’s growth. Additionally, as part of The Core Systems & Libraries team you’ll design, build, and run many critical foundational services, platforms, and libraries (media and non-media) that all engineering teams at Reddit rely on to serve our users and partners. Join us and help build the future of Reddit! You will: Develop and design new and innovative solutions to scaling Reddit Build platform API projects that scale to the rest of the organization Mentor and coach more junior engineers on your direct team to achieve our mission Build, deliver, and operate services that scale to millions of transactions per second at 5+ 9’s of availability Help us to optimize Reddit’s media experience for hundreds of millions of users across the world. You have: Strong software development experience in one or more general purpose programming languages; Python, Go or

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 Principal Product Quality Engineer, you are responsible for ensuring the stability and reliability of semiconductor manufacturing processes. This role involves defining standard operating procedures, applying statistical tools, and supporting audits to maintain high product quality standards. Additionally, the Principal Product Quality Engineer is a strategic leader responsible for architecting and driving global quality frameworks across multiple manufacturing sites. This role uses advanced engineering expertise, data analytics, and multi-functional collaboration to ensure process stability, product reliability, and continuous improvement at scale. You will influence global strategy and drive innovation. Responsibilities: Lead multi-functional and cross-site teams to resolve complex quality issues, driving global alignment and continuous improvement. Develop and implement global quality management systems in partnership with other Micron manufacturing facilities. Support the NPI qualification, PG/PTS yield improvement, Burn and module dpm reduction, defense line 4 enhancement and shift-left improvement Cover critical SWRs and RAR risk assessment, Fab Excursion-affected materials and RMA management. Monitor and report on critical quality metrics, including DPM, yield variation, and reliability performance. Supervise Wafer Level Reliability (WLR) and Wafer Level Burn In (WLBI)

About the job Turn complex manufacturing data into higher yield, stronger quality and better products at scale. As Principal Product Engineer, you will help Graphcore manufacture advanced products with optimised yield, quality and cost. You will guide product performance through launch, production ramp and sustained high volume manufacturing. Your work will influence chip manufacturing, test, PCBA and system level production. You will help teams find the signals that improve reliability, reduce cost and protect quality. You will partner with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. Together, you will release new products and solve difficult yield, test and manufacturing challenges. This role suits someone who enjoys deep technical ownership and practical impact. You will turn manufacturing data into action across silicon, boards, blades and rack scale systems. The team and culture You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the US and Taiwan, working close to products and production partners. Work happens through direct ownership, technical depth and clear decisions. You will define best practice, challenge assumptions and move quickly when yield or quality needs attention. The team connects silicon, board level assemblies, server blades and rack scale systems. Decisions are grounded in data, engineering judgement and accountability for manufacturing outcomes. What we're looking for · Strong semiconductor product engineering, test engineering or manufacturing engineering capability in high volume production · Deep understanding of semiconductor, PCBA and system level manufacturing and testing · Strong statistical analysis skills, including SPC, DOE, regression, hypothesis testing and six sigma methods · Proven ability to analyse and visualise large manufacturing datasets using Python, SQL, JMP or similar tools · Experience driving yield, qua

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM), trusted in over 100 countries and managing millions of devices worldwide. With continuous innovation across Apple, Windows, Android, macOS, Linux, and tvOS ecosystems, Hexnode is redefining enterprise mobility and cybersecurity. As we expand our Extended Detection and Response (XDR) capabilities, we are building a next-generation data platform designed for massive scale, real-time intelligence, and high-performance security analytics. The Role We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product. In this role, you will take ownership of the strategic evolution of our data layer — ensuring seamless ingestion, storage, indexing, search, and retrieval of high-volume security telemetry and device data. You will play a key role in transforming our platform into a highly scalable, cost-efficient, secure, and analytics-ready ecosystem that supports real-time detection, investigation, and advanced data science workflows. This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability. Key Responsibilities Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets. Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions. Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval. Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows. Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform. Ensure high availability, fault tolerance, and disaster recovery across distributed systems. I

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 Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great p

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 Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Health

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The AI Cluster Production Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared, not monetized. Our clusters run Slurm on Kubernetes infrastructure and support everything from day-to-day AI researcher workflows to multi-node hero training runs at thousands of GPUs. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization. The Opportunity CZ Biohub's mission is to cure or prevent all human disease. Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with the twist that the mission is biology and the science is open. You'll keep GPU clusters running at high utilization, debug the toughest distributed systems failures, and build the operational foundations for scaling to multi-thousand GPU hero runs. The technical problems are genuinely hard (e.g., multi-node distributed training, InfiniBand fabrics, large-scale storage, Slurm at scale) inside an organization where the work is aimed at helping peop