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performance issues at application, OS, and network levels.</li>\n</ul>\n<ul>\n<li>Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.</li>\n</ul>\n<ul>\n<li>Write clean, production-quality code with appropriate tests and documentation.</li>\n</ul>\n<ul>\n<li>Participate in code reviews, design discussions, and continuous improvement of engineering practices.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Strong proficiency in modern C++ (C++17/20 or later).</li>\n</ul>\n<ul>\n<li>5+ years of experience.</li>\n</ul>\n<ul>\n<li>Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.</li>\n</ul>\n<ul>\n<li>Familiar with basics statistics as applied to financial research.</li>\n</ul>\n<ul>\n<li>Proven experience building performance-critical, real-time, or low-latency systems.</li>\n</ul>\n<ul>\n<li>Strong knowledge of 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In this role, you&#39;ll work on accelerating and optimizing our virtualization and VM workloads that power our AI infrastructure.</p>\n<p>Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.</p>\n<p>Responsibilities:</p>\n<p>Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments</p>\n<p>Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure</p>\n<p>Investigate and resolve performance bottlenecks in virtualized environments</p>\n<p>Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware</p>\n<p>Develop tooling for monitoring and improving virtualization performance</p>\n<p>Work with our ML engineers to understand their computational 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projects:</p>\n<p>Optimizing kernel parameters and VM configurations to reduce inference latency for large language models</p>\n<p>Implementing custom memory management schemes for large-scale distributed training</p>\n<p>Developing specialized I/O schedulers to prioritize ML workloads</p>\n<p>Creating lightweight virtualization solutions tailored for AI inference</p>\n<p>Building monitoring and instrumentation tools to identify system-level bottlenecks</p>\n<p>Enhancing communication between VMs for distributed training workloads</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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How can we trust them?&quot; \\n \\n The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. \\n \\n Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs. \\n \\n More resources to learn about our work: \\n - Our research blog - covering advances including Monosemantic Features and Circuits \\n - An Introduction to Interpretability from our research lead, Chris Olah \\n - The Urgency of Interpretability from CEO Dario Amodei \\n - Engineering Challenges Scaling Interpretability - directly relevant to this role \\n - 60 Minutes segment - Around 8:07, see a demo of tooling our team built \\n - New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems \\n \\n Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model: \\n - Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips \\n - Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot; \\n - Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission \\n \\n The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. \\n \\n RESPONSIBILITIES: \\n - Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application \\n - Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams \\n - Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers \\n - Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations \\n - Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling \\n \\n YOU MAY BE A GOOD FIT IF YOU: \\n - Have 5-10+ years of experience building software \\n - Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python \\n - Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks \\n - Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions \\n - Prefer fast-moving collaborative projects to extensive solo efforts \\n - Are curious about interpretability research and its role in AI safety (though no research experience is required!) \\n - Care about the societal impacts and ethics of your work \\n - Are comfortable working closely with researchers, translating research needs into engineering solutions. \\n \\n STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: \\n - Optimizing the performance of large-scale distributed systems \\n - Language modeling fundamentals with transformers \\n - High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization \\n - Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs \\n - Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges \\n \\n REPRESENTATIVE PROJECTS: \\n - Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations \\n - Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them \\n - Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization \\n - Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) \\n \\n ROLE SPECIFIC LOCATION POLICY: \\n - This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. \\n \\n The annual compensation range for this role is listed below. \\n For sales roles, the range provided is the role&#39;s On Target Earnings (\\&quot;OTE\\&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. \\n Annual Salary:\\\\$315,000-\\\\$560,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc17980d-461","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 USD","x-skills-required":["Python","Rust","Go","Java","PyTorch","CUDA","JAX","XLA","High Performance LLM optimization","memory management","compute efficiency","parallelism strategies","inference throughput optimization"],"x-skills-preferred":["large-scale distributed systems","language modeling fundamentals","transformers","collaborating closely with researchers","building tooling to support research teams"],"datePosted":"2026-04-18T15:53:01.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Java, PyTorch, CUDA, JAX, XLA, High Performance LLM optimization, memory management, compute efficiency, parallelism strategies, inference throughput optimization, large-scale distributed systems, language modeling fundamentals, transformers, collaborating closely with researchers, building tooling to support research teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":560000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae157386-600"},"title":"Manager, Software Engineering","description":"<p>Job Title: Manager, Software Engineering</p>\n<p>Location: Seattle, Washington, United States</p>\n<p>Department: Connected Warfare : Edge Compute &amp; Communications Engineering : ECC</p>\n<p>As an Engineering Manager for the Edge Compute and Communication group, you will lead a high-performing team that leverages cutting-edge technologies like Rust and C++ to deliver complex, high-impact software systems that operate with extreme efficiency and reliability at the tactical edge.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead &amp; Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.</li>\n</ul>\n<ul>\n<li>Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.</li>\n</ul>\n<ul>\n<li>Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.</li>\n</ul>\n<ul>\n<li>Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.</li>\n</ul>\n<ul>\n<li>Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.</li>\n</ul>\n<ul>\n<li>Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design.</li>\n</ul>\n<ul>\n<li>Quality &amp; Process Ownership: Champion best practices in software design, code reviews, testing for embedded deployments, and CI/CD processes to ensure robust, scalable, and maintainable systems that are mission-ready.</li>\n</ul>\n<ul>\n<li>Cross-Functional Collaboration: Work closely with technical peers and other teams to support system integration, resolve technical challenges, and continuously improve operational workflows.</li>\n</ul>\n<ul>\n<li>People Development: Invest in the professional growth of your team through coaching, feedback, and structured career development plans.</li>\n</ul>\n<ul>\n<li>Operational Insight: Occasionally travel (up to 10% of the time) to work alongside teammates and observe systems in real-world operational settings, ensuring that software solutions address actual field challenges.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>3+ years of experience as a software engineering manager, with a proven record of building and leading high-performing teams.</li>\n</ul>\n<ul>\n<li>8+ years of hands-on software development experience, demonstrating a strong technical foundation in building resilient, high-performance software for distributed edge systems, networked applications, and Embedded Linux environments.</li>\n</ul>\n<ul>\n<li>Demonstrated expertise in C++ or Rust (or both), with a deep understanding of systems programming principles, memory management, concurrency, and performance optimization for resource-constrained environments.</li>\n</ul>\n<ul>\n<li>Successful track record of delivering complex software projects under tight deadlines while managing stakeholder relationships in a matrixed organization.</li>\n</ul>\n<ul>\n<li>Excellent communication and leadership skills, with the ability to inspire and develop talented engineers.</li>\n</ul>\n<ul>\n<li>Expertise in agile development methodologies and process improvement.</li>\n</ul>\n<ul>\n<li>Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience managing teams in mission-critical domains such as command and control, robotics, or defense applications.</li>\n</ul>\n<ul>\n<li>Familiarity with modern DevOps and CI/CD practices tailored for embedded and distributed deployments.</li>\n</ul>\n<ul>\n<li>Background in developing software for distributed systems, connected ecosystems and hardware integrations.</li>\n</ul>\n<ul>\n<li>Direct experience in IoT device management, telemetry, and secure over-the-air (OTA) update mechanisms is highly valued.</li>\n</ul>\n<ul>\n<li>Experience working within or closely with multi-domain operation teams.</li>\n</ul>\n<ul>\n<li>A deep understanding of networking, security, and system integration challenges in high-stakes environments.</li>\n</ul>\n<ul>\n<li>Familiarity with low-level hardware interactions, device drivers, or firmware development is a strong plus.</li>\n</ul>\n<p>US Salary Range $191,000-$253,000 USD</p>\n<p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril&#39;s total compensation package.</p>\n<p>Additionally, Anduril offers top-tier benefits for full-time employees, including:</p>\n<ul>\n<li>Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</li>\n</ul>\n<ul>\n<li>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</li>\n</ul>\n<ul>\n<li>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependent</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae157386-600","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5002761007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$191,000-$253,000 USD","x-skills-required":["C++","Rust","Systems programming","Memory management","Concurrency","Performance optimization","Agile development methodologies","Process improvement"],"x-skills-preferred":["IoT device management","Telemetry","Secure over-the-air (OTA) update mechanisms","Low-level hardware interactions","Device drivers","Firmware development"],"datePosted":"2026-04-18T15:48:46.799Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Rust, Systems programming, Memory management, Concurrency, Performance optimization, Agile development methodologies, Process improvement, IoT device management, Telemetry, Secure over-the-air (OTA) update mechanisms, Low-level hardware interactions, Device drivers, Firmware development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faffae87-882"},"title":"Staff Software Engineer - GenAI Performance and Kernel","description":"<p>As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design, implementation, benchmarking, and maintenance of core compute kernels optimized for various hardware backends (GPU, accelerators)</li>\n<li>Driving the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.</li>\n<li>Integrating kernel optimizations with higher-level ML systems</li>\n<li>Building and maintaining profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps</li>\n<li>Leading performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation</li>\n<li>Establishing coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability</li>\n<li>Influencing system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)</li>\n<li>Mentoring and guiding other engineers working on lower-level performance, providing code reviews, and helping set best practices</li>\n<li>Collaborating with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitoring their impact</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS/PhD in Computer Science, or a related field</li>\n<li>Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads</li>\n<li>Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.</li>\n<li>Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning</li>\n<li>Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels</li>\n<li>Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)</li>\n<li>Experience reasoning about numerical stability, mixed precision, quantization, and error propagation</li>\n<li>Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems</li>\n<li>Experience building high-performance products leveraging GPU acceleration</li>\n<li>Excellent communication and leadership skills , able to drive design discussions, mentor colleagues, and make trade-offs visible</li>\n<li>A track record of shipping performance-critical, high-quality production software</li>\n<li>Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques</li>\n</ul>\n<p>The pay range for this role is $190,900-$232,800 USD per year, depending on location and experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_faffae87-882","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8202700002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$190,900-$232,800 USD per year","x-skills-required":["Compute kernels","GPU/accelerator architecture","Advanced optimization techniques","ML-specific kernel libraries","Debugging and profiling skills","Numerical stability","Mixed precision","Quantization","Error propagation","Distributed inference pipelines","Memory management","Runtime systems","High-performance products","GPU acceleration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:07.442Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Compute kernels, GPU/accelerator architecture, Advanced optimization techniques, ML-specific kernel libraries, Debugging and profiling skills, Numerical stability, Mixed precision, Quantization, Error propagation, Distributed inference pipelines, Memory management, Runtime systems, High-performance products, GPU acceleration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190900,"maxValue":232800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_97212bdf-dd1"},"title":"Research Engineer, Interpretability","description":"<p>Job Title: Research Engineer, Interpretability</p>\n<p>About the Role:</p>\n<p>When you see what modern language models are capable of, do you wonder, &quot;How do these things work? How can we trust them?&quot; The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.</p>\n<p>Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs.</p>\n<p>More resources to learn about our work:</p>\n<ul>\n<li>Our research blog - covering advances including Monosemantic Features and Circuits</li>\n</ul>\n<ul>\n<li>An Introduction to Interpretability from our research lead, Chris Olah</li>\n</ul>\n<ul>\n<li>The Urgency of Interpretability from CEO Dario Amodei</li>\n</ul>\n<ul>\n<li>Engineering Challenges Scaling Interpretability - directly relevant to this role</li>\n</ul>\n<ul>\n<li>60 Minutes segment - Around 8:07, see a demo of tooling our team built</li>\n</ul>\n<ul>\n<li>New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems</li>\n</ul>\n<p>Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model:</p>\n<ul>\n<li>Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips</li>\n</ul>\n<ul>\n<li>Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot;</li>\n</ul>\n<ul>\n<li>Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission</li>\n</ul>\n<p>The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application</li>\n</ul>\n<ul>\n<li>Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams</li>\n</ul>\n<ul>\n<li>Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers</li>\n</ul>\n<ul>\n<li>Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations</li>\n</ul>\n<ul>\n<li>Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5-10+ years of experience building software</li>\n</ul>\n<ul>\n<li>Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python</li>\n</ul>\n<ul>\n<li>Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks</li>\n</ul>\n<ul>\n<li>Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions</li>\n</ul>\n<ul>\n<li>Prefer fast-moving collaborative projects to extensive solo efforts</li>\n</ul>\n<ul>\n<li>Are curious about interpretability research and its role in AI safety (though no research experience is required!)</li>\n</ul>\n<ul>\n<li>Care about the societal impacts and ethics of your work</li>\n</ul>\n<ul>\n<li>Are comfortable working closely with researchers, translating research needs into engineering solutions.</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Optimizing the performance of large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Language modeling fundamentals with transformers</li>\n</ul>\n<ul>\n<li>High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization</li>\n</ul>\n<ul>\n<li>Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs</li>\n</ul>\n<ul>\n<li>Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges</li>\n</ul>\n<p>Representative Projects:</p>\n<ul>\n<li>Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations</li>\n</ul>\n<ul>\n<li>Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them</li>\n</ul>\n<ul>\n<li>Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization</li>\n</ul>\n<ul>\n<li>Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research)</li>\n</ul>\n<p>Role Specific Location Policy:</p>\n<ul>\n<li>This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $315,000-$560,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_97212bdf-dd1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 USD","x-skills-required":["Python","Rust","Go","Java","PyTorch","CUDA","JAX","XLA","Transformers","High Performance LLM optimization","Memory management","Compute efficiency","Parallelism strategies","Inference throughput optimization"],"x-skills-preferred":["Optimizing the performance of large-scale distributed systems","Language modeling fundamentals","Collaborating closely with researchers and building tooling to support research teams"],"datePosted":"2026-04-18T15:46:01.999Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Java, PyTorch, CUDA, JAX, XLA, Transformers, High Performance LLM optimization, Memory management, Compute efficiency, Parallelism strategies, Inference throughput optimization, Optimizing the performance of large-scale distributed systems, Language modeling fundamentals, Collaborating closely with researchers and building tooling to support research teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":560000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5daf8f5f-60a"},"title":"Member of Technical Staff - Compute Infrastructure","description":"<p>Join the Compute Infrastructure team at xAI, responsible for designing, building, and operating massive-scale clusters and orchestration platforms. You will push the boundaries of container orchestration, manage exascale compute resources, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.</li>\n<li>Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.</li>\n<li>Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.</li>\n<li>Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.</li>\n<li>Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).</li>\n<li>Strong proficiency in systems programming languages such as C/C++ and Rust.</li>\n<li>Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.</li>\n<li>Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.</li>\n<li>Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).</li>\n<li>Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.</li>\n<li>Familiarity with performance tools, tracing, and debugging in production distributed environments.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$180,000 - $440,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5daf8f5f-60a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5052040007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["virtualization technologies","advanced containerization/sandboxing","systems programming languages","Linux kernel internals","resource management","scheduling","memory management","low-level engineering"],"x-skills-preferred":["Linux kernel development","hypervisor extensions","low-level system programming","custom runtimes","isolation techniques","bespoke platforms"],"datePosted":"2026-04-18T15:39:56.115Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"virtualization technologies, advanced containerization/sandboxing, systems programming languages, Linux kernel internals, resource management, scheduling, memory management, low-level engineering, Linux kernel development, hypervisor extensions, low-level system programming, custom runtimes, isolation techniques, bespoke platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_41d78c61-d2c"},"title":"Senior Engineer, XBAT DevOps","description":"<p>The Software Integration &amp; Operations group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline\ndeterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly\neffectively, safely, and fast.</p>\n<p>As a Senior Engineer, you will be dedicated to Shield AI&#39;s next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You&#39;ll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stack\from autonomy to avionics\before it ever flies. 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We own the commit-to-flight pipeline,deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. As a Senior Modeling &amp; Simulation Engineer, you will be dedicated to Shield AI&#39;s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline.</p>\n<p>You&#39;ll design, build, and scale the models and infrastructure needed to use Shield&#39;s simulation platform for qualified software validation efforts. 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This involves analyzing technical requirements, designing scalable solutions, and implementing robust engine features. The role requires proven expertise in performance analysis and optimization, with the ability to diagnose complex bottlenecks and deliver efficient solutions.</p>\n<p><strong>What You Will Do</strong></p>\n<ul>\n<li>Architect and implement engine extensions to fulfill project requirements within scheduled timelines.</li>\n<li>Proactively identify technologies critical to game performance and design cost-effective solutions within technical and budgetary constraints.</li>\n<li>Maintain engine stability and cross-platform compatibility, ensuring rapid response to and resolution of critical issues.</li>\n<li>Conduct performance optimization using standard profiling tools across PC and console platforms.</li>\n<li>Collaborate effectively with internal teams and external partners, demonstrating clear technical communication.</li>\n<li>Continuously research and integrate relevant new techniques, exhibiting a self-driven approach to professional development.</li>\n<li>Create and maintain clear technical documentation to facilitate knowledge sharing.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Expert-level proficiency in C++ and strong understanding of C/C# and Object-Oriented Programming.</li>\n<li>Demonstrated expertise in performance analysis, memory management, and multithreaded programming.</li>\n<li>Proven experience in game engine architecture and optimization.</li>\n<li>Ability to diagnose issues across engines, dependencies, and middleware, and propose and implement effective technical solutions.</li>\n<li>Experience in analyzing requirements, identifying technical risks, and presenting solution options with clear trade-off analysis.</li>\n<li>Commitment to writing clean, maintainable, portable, and highly functional code.</li>\n<li>Hands-on experience with console development (Nintendo Switch, PlayStation, Xbox, etc.).</li>\n<li>Professional proficiency in written and spoken English, sufficient for comprehending technical documents and actively engaging in global team discussions and conference calls.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_825fba79-628","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://jobs.smartrecruiters.com","logo":"https://logos.yubhub.co/ubisoft2.com.png"},"x-apply-url":"https://jobs.smartrecruiters.com/Ubisoft2/744000112075664-senior-engine-programmer-new-project-on-switch2-","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","C/C#","Object-Oriented Programming","performance analysis","memory management","multithreaded programming","game engine architecture","optimization","console development"],"x-skills-preferred":["console development","game engine architecture","optimization"],"datePosted":"2026-03-09T10:57:52.123Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chengdu, Sichuan, China"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, C/C#, Object-Oriented Programming, performance analysis, memory management, multithreaded programming, game engine architecture, optimization, console development, console development, game engine architecture, optimization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_add0a6aa-8c3"},"title":"Software Engineer","description":"<p>Join Microsoft AI, the team behind Copilot, Bing, MSN, Microsoft Advertising, and Edge, as we build the next generation of intelligent mobile experiences. We&#39;re looking for a Software Engineer with deep expertise in iOS development to support our mobile foundations. In this role, you will architect, harden, and optimize the core layers of our mobile applications—frameworks, infrastructure, performance pipelines, and reliability systems—that power Copilot and our broader ecosystem across millions of devices.</p>\n<p>This position is ideal for someone who thrives at the intersection of platform engineering, system design, performance optimization, and long-term architectural thinking. You will shape the technical backbone that enables product teams to move faster, ship safer, and innovate with confidence. 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As a senior software engineer, you will play a key role in extending and modifying Windows Operating system code to develop these experiences.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and ship features for a consumer Windows application with a strong focus on usability, performance, reliability, and accessibility.</li>\n<li>Develop high-quality, maintainable, and well-tested code using modern Windows frameworks and tooling.</li>\n<li>Collaborate with Product, Design, and Data partners to translate customer needs into technical solutions.</li>\n<li>Participate in architecture and design reviews, contributing to decisions around scalability, responsiveness, and long-term maintainability.</li>\n<li>Instrument features with telemetry, analyze usage and reliability signals, and iterate based on data and customer feedback.</li>\n<li>Debug and resolve issues across the stack, including live-site and customer-reported problems.</li>\n<li>Contribute to engineering excellence through code reviews, test coverage, CI/CD practices, and operational readiness.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>Experience building and shipping production-quality applications or services.</li>\n<li>Solid understanding of data structures, algorithms, and object-oriented design.</li>\n<li>Experience working collaboratively in a team environment with clear communication and ownership.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience building Windows applications using WinUI, WPF, UWP, or Windows SDKs.</li>\n<li>Familiarity with performance optimization, memory management, and responsiveness in desktop applications.</li>\n<li>Experience with telemetry, experimentation, and feature flighting in consumer products.</li>\n<li>Exposure to accessibility (a11y) standards and inclusive design principles.</li>\n<li>Experience with CI/CD pipelines, automated testing, and live-site monitoring.</li>\n</ul>\n<p><strong>What Success Looks Like</strong></p>\n<ul>\n<li>Delivers polished, reliable features that improve customer satisfaction and engagement.</li>\n<li>Writes clean, testable code and proactively raises quality and maintainability bar.</li>\n<li>Demonstrates strong ownership—from design through deployment and support.</li>\n<li>Uses data and customer feedback to guide decisions and continuous improvement.</li>\n<li>Grows technical depth while positively influencing team engineering practices.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b1de2fef-1e9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/software-engineering-ic3-2/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","C#","Java","JavaScript","Python","data structures","algorithms","object-oriented design"],"x-skills-preferred":["WinUI","WPF","UWP","Windows SDKs","performance optimization","memory management","responsiveness","telemetry","experimentation","feature flighting","accessibility","CI/CD pipelines","automated testing","live-site monitoring"],"datePosted":"2026-03-08T22:17:06.515Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, data structures, algorithms, object-oriented design, WinUI, WPF, UWP, Windows SDKs, performance optimization, memory management, responsiveness, telemetry, experimentation, feature flighting, accessibility, CI/CD pipelines, automated testing, live-site monitoring"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8573654e-44d"},"title":"Software Engineer","description":"<p>Join Microsoft AI, the team behind Copilot, Bing, MSN, Microsoft Advertising, and Edge, as we build the next generation of intelligent mobile experiences. We&#39;re looking for a Software Engineer with deep expertise in iOS development to support our mobile foundations.</p>\n<p>In this role, you will architect, harden, and optimize the core layers of our mobile applications—frameworks, infrastructure, performance pipelines, and reliability systems—that power Copilot and our broader ecosystem across millions of devices.</p>\n<p>This position is ideal for someone who thrives at the intersection of platform engineering, system design, performance optimization, and long-term architectural thinking. You will shape the technical backbone that enables product teams to move faster, ship safer, and innovate with confidence.</p>\n<p>If you enjoy building durable foundations, eliminating systemic risks, and raising the quality bar for mobile engineering, you&#39;ll feel right at home on our team.</p>\n<p>MAI operates with the agility of a startup—fast-paced, iterative, and impact-driven—while backed by Microsoft’s mission to empower every person and organization on the planet to achieve more.</p>\n<p>We value engineers who take initiative, navigate ambiguity with clarity, and continuously push the boundaries of what mobile platforms can achieve.</p>\n<p>Responsibilities:</p>\n<p>Strengthen the core quality and reliability of the app, building guardrails, diagnostics, and automated protections that prevent regressions and ensure consistent performance at scale.</p>\n<p>Drive optimizations across the app, using deep platform knowledge to identify systemic bottlenecks and implement durable improvements.</p>\n<p>Partner closely with cross-functional teams (Product, Design, Research, Backend, AI) to translate complex requirements into robust, scalable client-side solutions.</p>\n<p>Explore and integrate AI-assisted development workflows to improve code quality, reduce iteration time, and enhance developer productivity across the mobile organization.</p>\n<p>Own critical incident response and long-term remediation, ensuring the app remains stable, observable, and resilient under real-world conditions.</p>\n<p>Qualifications:</p>\n<p>Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>2+ years of professional experience in iOS development using Swift and/or Objective‑C, with strong understanding of iOS frameworks, system behaviors, and performance characteristics.</p>\n<p>Proven experience building and maintaining large-scale, high-quality mobile applications with complex architecture and long-term maintainability requirements.</p>\n<p>Solid understanding of mobile system design, including modularization, dependency management, concurrency, memory management, and networking.</p>\n<p>Demonstrated ability to diagnose and resolve deep technical issues across performance, stability, and reliability dimensions.</p>\n<p>A growth mindset and willingness to adopt new tools, technologies, and AI-assisted engineering workflows.</p>\n<p>Preferred Qualifications:</p>\n<p>Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Experience designing mobile foundations or platform-level components (e.g., shared frameworks, internal SDKs, architecture patterns).</p>\n<p>Expertise in performance profiling, crash/ANR root-cause analysis, startup optimization, memory tuning.</p>\n<p>Experience with cross-platform client engineering (Android, React Native, Flutter, or shared C++ layers) is a plus.</p>\n<p>Solid communication and collaboration skills, with the ability to influence engineering direction across multiple teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8573654e-44d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft 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behaviors, performance characteristics, mobile system design, modularization, dependency management, concurrency, memory management, networking, performance profiling, crash/ANR root-cause analysis, startup optimization, memory tuning, cross-platform client engineering, Android, React Native, Flutter, shared C++ layers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_173381a1-8d0"},"title":"Software Engineer, Sandboxing (Systems)","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>Responsibilities:</strong></p>\n<p>We are seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you&#39;ll work on accelerating and optimising our virtualisation and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimisation, and virtualisation technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.</p>\n<ul>\n<li>Optimise our virtualisation stack, improving performance, reliability, and efficiency of our VM environments</li>\n<li>Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure</li>\n<li>Investigate and resolve performance bottlenecks in virtualised environments</li>\n<li>Collaborate with cloud engineering teams to optimise interactions between our workloads and underlying hardware</li>\n<li>Develop tooling for monitoring and improving virtualisation performance</li>\n<li>Work with our ML engineers to understand their computational needs and optimise our systems accordingly</li>\n<li>Contribute to the design and implementation of our next-generation compute infrastructure</li>\n<li>Share knowledge with team members on low-level systems programming and Linux kernel internals</li>\n<li>Partner with cloud providers to influence hardware and platform features for AI workloads</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience with Linux kernel development, system programming, or related low-level software engineering</li>\n<li>Understand virtualisation technologies (KVM, Xen, QEMU, etc.) and their performance characteristics</li>\n<li>Have experience optimising system performance for compute-intensive workloads</li>\n<li>Are familiar with modern CPU architectures and memory systems</li>\n<li>Have strong C/C++ programming skills and ideally experience with systems languages like Rust</li>\n<li>Understand Linux resource management, scheduling, and memory management</li>\n<li>Have experience profiling and debugging system-level performance issues</li>\n<li>Are comfortable diving into unfamiliar codebases and technical domains</li>\n<li>Are results-oriented, with a bias towards practical solutions and measurable impact</li>\n<li>Care about the societal impacts of AI and are passionate about building safe, reliable systems</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>GPU virtualisation and acceleration technologies</li>\n<li>Cloud infrastructure at scale (AWS, GCP)</li>\n<li>Container technologies and their underlying implementation (Docker, containerd, runc, OCI)</li>\n<li>eBPF programming and kernel tracing tools</li>\n<li>OS-level security hardening and isolation techniques</li>\n<li>Developing custom scheduling algorithms for specialised workloads</li>\n<li>Performance optimisation for ML/AI specific workloads</li>\n<li>Network stack optimisation and high-performance networking</li>\n<li>Experience with TPUs, custom ASICs, or other ML accelerators</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Optimising kernel parameters and VM configurations to reduce inference latency for large language models</li>\n<li>Implementing custom memory management schemes for large-scale distributed training</li>\n<li>Developing specialised I/O schedulers to prioritise ML workloads</li>\n<li>Creating lightweight virtualisation solutions tailored for AI inference</li>\n<li>Building monitoring and instrumentation tools to identify system-level bottlenecks</li>\n<li>Enhancing communication between VMs for distributed training workloads</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about the authenticity of an email or a request, please reach out to us directly.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_173381a1-8d0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5025591008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $405,000 USD","x-skills-required":["Linux kernel development","System programming","Low-level software engineering","Virtualisation technologies","Kernel optimisation","C/C++ programming","Rust programming","Linux resource management","Scheduling","Memory management"],"x-skills-preferred":["GPU virtualisation","Cloud infrastructure","Container technologies","eBPF programming","OS-level security hardening","Custom scheduling algorithms","Performance optimisation","Network stack optimisation","TPUs","Custom ASICs"],"datePosted":"2026-03-08T14:03:08.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux kernel development, System programming, Low-level software engineering, Virtualisation technologies, Kernel optimisation, C/C++ programming, Rust programming, Linux resource management, Scheduling, Memory management, GPU virtualisation, Cloud infrastructure, Container technologies, eBPF programming, OS-level security hardening, Custom scheduling algorithms, Performance optimisation, Network stack optimisation, TPUs, Custom ASICs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9a056a8-13c"},"title":"Senior Machine Learning Engineer, Engine Optimization - PhD Early Career","description":"<p><strong>Job Posting</strong></p>\n<p><strong>[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career</strong></p>\n<p>San Mateo, CA, United StatesEarly CareerID: 5626</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Our engine’s resource management and streaming systems are critical to delivering a smooth, stable, and responsive experience for Roblox users across a huge range of devices and network conditions. These systems work together to intelligently allocate compute, memory, bandwidth, and rendering quality while dynamically delivering world content in real time as players move, explore, and interact. The challenges span highly dynamic environments, unpredictable user behavior, and opaque signals from device and OS constraints.</p>\n<p>This role offers a rare opportunity to pioneer the application of machine learning in real-time engine optimization. You will establish the ML framework for predictive resource allocation and content fetching, replacing heuristic-based logic with adaptive, data-driven decision-making. Your work will directly shape stability, visual quality, responsiveness, and content delivery across billions of global play sessions.</p>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.</li>\n<li>Design ML models that infer player and interaction patterns for predictive resource management and content delivery.</li>\n<li>Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or latency.</li>\n<li>Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms.</li>\n<li>Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, or real-time optimization.</li>\n<li>Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems.</li>\n<li>A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them.</li>\n<li>A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>As a full-time employee at Roblox, you will be eligible for equity compensation and benefits as described on <strong>this page</strong>.</p>\n<p><strong>Salary</strong></p>\n<p>The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p><strong>Work Schedule</strong></p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c9a056a8-13c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7421746","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["applied ML","reinforcement learning","predictive modeling","trajectory prediction","real-time optimization","C++","Python","Go","Java","memory management","threading","OS signals"],"x-skills-preferred":["systems-level concepts","performance-critical systems","gaming","simulation","robotics","mobile environments"],"datePosted":"2026-03-06T14:18:36.559Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied ML, reinforcement learning, predictive modeling, trajectory prediction, real-time optimization, C++, Python, Go, Java, memory management, threading, OS signals, systems-level concepts, performance-critical systems, gaming, simulation, robotics, mobile environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_333496d0-21c"},"title":"Senior Software Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Software Engineer at their Hyderabad office. 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