{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/infrastructure-design"},"x-facet":{"type":"skill","slug":"infrastructure-design","display":"Infrastructure Design","count":9},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1963e2d1-add"},"title":"Cloud DevOps Engineer","description":"<p>We are seeking a skilled Cloud DevOps Engineer to join our Commodities Technology team. As a Cloud DevOps Engineer, you will work closely with quants, portfolio managers, risk managers, and other engineers to develop data-intensive and multi-asset analytics for our Commodities platform.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with cross-functional teams to gather requirements and user feedback</li>\n<li>Design, build, and refactor robust software applications with clean and concise code following Agile and continuous delivery practices</li>\n<li>Automate system maintenance tasks, end-of-day processing jobs, data integrity checks, and bulk data loads/extracts</li>\n<li>Stay up-to-date with industry trends, new platforms, and tools, and develop a business case to adopt new technologies</li>\n<li>Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)</li>\n<li>Support users and operational flows for quantitative risk, senior management, and portfolio management teams using the tools developed</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Advanced degree in computer science or any other scientific field</li>\n<li>3+ years of experience in CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD</li>\n<li>AWS Cloud infrastructure design, implementation, and support</li>\n<li>Experience with multiple AWS services</li>\n<li>Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation</li>\n<li>Knowledge of Python (Flask/FastAPI/Django)</li>\n<li>Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments</li>\n<li>Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana)</li>\n<li>Strong knowledge of Unix or Linux</li>\n<li>Strong communication skills to collaborate with various stakeholders</li>\n<li>Able to work independently in a fast-paced environment</li>\n<li>Detail-oriented, organized, demonstrating thoroughness and strong ownership of work</li>\n<li>Experience working in a production environment</li>\n<li>Some experience with relational and non-relational databases</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with a messaging middleware platform like Solace, Kafka, or RabbitMQ</li>\n<li>Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)</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_1963e2d1-add","directApply":true,"hiringOrganization":{"@type":"Organization","name":"FIC & Risk Technology","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955154859","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD","AWS Cloud infrastructure design, implementation, and support","Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation","Python (Flask/FastAPI/Django)","Containerization for applications and their subsequent orchestration within Kubernetes environments"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:12:31.979Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD, AWS Cloud infrastructure design, implementation, and support, Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation, Python (Flask/FastAPI/Django), Containerization for applications and their subsequent orchestration within Kubernetes environments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b79d9627-55a"},"title":"Research Engineer, Infrastructure, Training Systems","description":"<p>We&#39;re seeking an infrastructure research engineer to design and build scalable, efficient training systems for large models. As a key member of our team, you&#39;ll take ownership of the training stack end-to-end, ensuring every GPU cycle drives scientific progress. Your goal is to make experimentation and training at Thinking Machines fast and reliable, allowing our research teams to focus on science, not system bottlenecks.</p>\n<p>Key responsibilities include designing, implementing, and optimizing distributed training systems, developing high-performance optimizations, and establishing standards for reliability, maintainability, and security. You&#39;ll collaborate with researchers and engineers to build scalable infrastructure and publish learnings through internal documentation, open-source libraries, or technical reports.</p>\n<p>We&#39;re looking for someone who blends deep systems and performance expertise with a curiosity for machine learning at scale. A strong understanding of deep learning frameworks, such as PyTorch, and experience working on distributed training for large models are preferred. If you have a track record of improving research productivity through infrastructure design or process improvements, that&#39;s a plus.</p>\n<p>This role is based in San Francisco, California, and offers a competitive salary range of $350,000 - $475,000 USD per year, depending on background, skills, and experience. We sponsor visas and offer generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</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_b79d9627-55a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013932008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD per year","x-skills-required":["deep learning frameworks","distributed training","high-performance optimizations","reliability, maintainability, and security","scalable infrastructure"],"x-skills-preferred":["past experience working on distributed training for large models","track record of improving research productivity through infrastructure design or process improvements","contributions to open-source ML infrastructure"],"datePosted":"2026-04-18T15:57:59.640Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning frameworks, distributed training, high-performance optimizations, reliability, maintainability, and security, scalable infrastructure, past experience working on distributed training for large models, track record of improving research productivity through infrastructure design or process improvements, contributions to open-source ML infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07a3c83e-51e"},"title":"Research Engineer, Infrastructure, Numerics","description":"<p>We&#39;re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. You will focus on improving the numerical foundations of our distributed training stack, from precision formats and kernel optimizations to communication frameworks that make training trillion-parameter models stable, scalable, and fast.</p>\n<p>This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.</li>\n<li>Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.</li>\n<li>Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.</li>\n<li>Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.</li>\n<li>Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.</li>\n<li>Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.</li>\n<li>Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.</li>\n</ul>\n<p>Skills and Qualifications:</p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.</li>\n</ul>\n<p>Preferred qualifications , we encourage you to apply if you meet some but not all of these:</p>\n<ul>\n<li>Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.</li>\n<li>Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.</li>\n<li>Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.</li>\n<li>Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.</li>\n<li>Experience training and supporting large-scale AI models.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Location: This role is based in San Francisco, California.</li>\n<li>Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.</li>\n<li>Visa sponsorship: We sponsor visas. While we can&#39;t guarantee success for every candidate or role, if you&#39;re the right fit, we&#39;re committed to working through the visa process together.</li>\n<li>Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</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_07a3c83e-51e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013937008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD","x-skills-required":["Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar","Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures","Thriving in a highly collaborative environment involving many, different cross-functional partners and subject matter experts","Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems","Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM"],"x-skills-preferred":["Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs","Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA","Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models","Experience training and supporting large-scale AI models","Track record of improving research productivity through infrastructure design or process improvements"],"datePosted":"2026-04-18T15:56:14.922Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar, Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures, Thriving in a highly collaborative environment involving many, different cross-functional partners and subject matter experts, Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems, Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM, Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs, Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA, Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models, Experience training and supporting large-scale AI models, Track record of improving research productivity through infrastructure design or process improvements","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cba88898-896"},"title":"Research Engineer, Infrastructure, Kernels","description":"<p>We&#39;re looking for an infrastructure research engineer to design, optimize, and maintain the compute foundations that power large-scale language model training. You will develop high-performance ML kernels (e.g., CUDA, CuTe, Triton), enable efficient low-precision arithmetic, and improve the distributed compute stack that makes training large models possible.</p>\n<p>This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You&#39;ll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You&#39;ll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.</li>\n<li>Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.</li>\n<li>Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.</li>\n<li>Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.</li>\n<li>Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.</li>\n<li>Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.</li>\n</ul>\n<p><strong>Skills and Qualifications</strong></p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.</li>\n<li>Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience training or supporting large-scale language models with tens of billions of parameters or more.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n<li>Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.</li>\n<li>Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.</li>\n<li>Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).</li>\n<li>Contributions to open-source GPU, ML systems, or compiler optimization projects.</li>\n<li>Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.</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_cba88898-896","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013934008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - 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Air Dominance & Strike - Advanced Effects","description":"<p>Anduril Industries is seeking a Modeling, Simulation and Analysis Engineer to join our team in Costa Mesa, California. As a critical member of our team, you will be responsible for developing, implementing and maintaining a sufficient fidelity virtual representation of the myriad of different vehicles that Anduril works on. You will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs ongoing at Anduril.</p>\n<p>The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software to support development. The role requires the individual to be proficient in vehicle/sub-system modeling and well-versed in coding practices and software integration practices.</p>\n<p>Responsibilities: Work on challenging problems in a fast-paced environment from across our portfolio of programs and products: Simulation solutions for Guidance, Navigation and Control algorithm development Software-In-The-Loop (SITL) solutions Hardware-In-The-Loop (HITL) solutions Pilot-In-The-Loop (PITL) solutions Customer product training solutions Monte-Carlo simulation analysis Simulation and Test data analysis tools and processes Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions Own the end-to-end configuration of our SITL, HITL, and PITL for our test vehicles in support of safe and efficient flight tests</p>\n<p>Requirements: Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles Experience in flight dynamics/platform physics and control Proficiency with C/C++ Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy) Flight test data processing/sim correlation experience Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems) Experience with model development to support Guidance, Navigation and Control algorithm development Must be eligible to obtain and maintain a U.S. TS clearance</p>\n<p>Preferred Qualifications: Advanced proficiency with C/C++ Flight test support experience Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems Experience with developing emulated/simulation interfaces for on-board avionics</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_53f21b1b-c3d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.andurilindustries.com/","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5035828007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$129,000-$220,000 USD","x-skills-required":["C/C++","Scientific computing systems","Flight dynamics/platform physics and control","Guidance, Navigation and Control algorithm development","Sub-system and system level modeling"],"x-skills-preferred":["Advanced proficiency with C/C++","Flight test support experience","SITL and HITL simulation infrastructure design, development and deployment for complex systems"],"datePosted":"2026-04-18T15:50:01.683Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, Scientific computing systems, Flight dynamics/platform physics and control, Guidance, Navigation and Control algorithm development, Sub-system and system level modeling, Advanced proficiency with C/C++, Flight test support experience, SITL and HITL simulation infrastructure design, development and deployment for complex systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":129000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_427e8674-dd3"},"title":"Modeling, Simulation and Analysis Engineer, Air Dominance & Strike","description":"<p>We are seeking a Modeling, Simulation and Analysis Engineer to join our team in Costa Mesa, California. As a critical member of our team, you will be involved in the design, development, testing and implementation of cutting-edge flight system technologies for our aerospace systems.</p>\n<p>In this role, you will develop, implement and maintain virtual representations of various vehicles Anduril works on. You will be required to develop and coordinate deployment and maintenance of vehicle models and simulation instantiations for various programs ongoing at Anduril.</p>\n<p>The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software to support development.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Work on challenging problems in a fast-paced environment from across our portfolio of programs and products</li>\n<li>Develop simulation solutions for Guidance, Navigation and Control algorithm development</li>\n<li>Design, develop and deploy Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) solutions</li>\n<li>Provide customer product training solutions</li>\n<li>Conduct Monte-Carlo simulation analysis</li>\n<li>Develop and maintain simulation and test data analysis tools and processes</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s Degree or higher in engineering, computer science, mathematics, physics, chemistry or related technical discipline</li>\n<li>Experience with aerospace/aeronautical systems (including rotorcraft/VTOL) and/or Subsea vehicles</li>\n<li>Experience in flight dynamics/platform physics and control</li>\n<li>Proficiency with C/C++</li>\n<li>Advanced proficiency with scientific computing systems (Mathworks products (e.g., MATLAB, SIMULINK etc.), scientific Python (e.g., numpy, scipy)</li>\n<li>Flight test data processing/sim correlation experience</li>\n<li>Experience with developing sub-system and system level models (Air vehicle, ground vehicles, ground based sensors and other types of complex systems)</li>\n<li>Must be eligible to obtain and maintain a U.S. TS clearance</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Advanced proficiency with C/C++</li>\n<li>Flight test support experience</li>\n<li>Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems</li>\n<li>Experience with developing emulated/simulation interfaces for on-board avionics</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_427e8674-dd3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.andurilindustries.com/","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4777086007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$129,000-$220,000 USD","x-skills-required":["C/C++","Scientific computing systems","Flight dynamics/platform physics and control","Guidance, Navigation and Control algorithm development","Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) solutions","Monte-Carlo simulation analysis","Simulation and test data analysis tools and processes"],"x-skills-preferred":["Advanced proficiency with C/C++","Flight test support experience","SITL and HITL simulation infrastructure design, development and deployment for complex systems","Emulated/simulation interfaces for on-board avionics"],"datePosted":"2026-04-18T15:46:50.909Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C/C++, Scientific computing systems, Flight dynamics/platform physics and control, Guidance, Navigation and Control algorithm development, Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) solutions, Monte-Carlo simulation analysis, Simulation and test data analysis tools and processes, Advanced proficiency with C/C++, Flight test support experience, SITL and HITL simulation infrastructure design, development and deployment for complex systems, Emulated/simulation interfaces for on-board avionics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":129000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5ca1d076-26a"},"title":"Information Systems Security Manager","description":"<p>Job Title: Information Systems Security Manager</p>\n<p>About the Team: Anduril employs a variety of networks and networking infrastructures to support global operations. Information Systems Security Managers are in charge of directly supporting business lines that wish to deploy Anduril products in classified environments.</p>\n<p>About the Job: As an Information Systems Security Manager, you will be responsible for providing expertise in documenting security controls to reduce the administrative cost of deploying Anduril&#39;s products into operational environments. You will partner with program and security teams to coordinate security artifacts in support of classified deployments. You will apply technology standards from the commercial space in classified, air-gapped environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide expertise in documenting security controls to reduce the administrative cost of deploying Anduril&#39;s products into operational environments.</li>\n<li>Partner with program and security teams to coordinate security artifacts in support of classified deployments.</li>\n<li>Apply technology standards from the commercial space in classified, air-gapped environments.</li>\n<li>Collaborate with Information System Owners to understand key stakeholders&#39; needs and provide complex technical solutions to meet contractual obligations.</li>\n<li>Tailor NIST 800-53 controls to determine applicability to the network environment and oversee the implementation of Continuous Monitoring for respective programs.</li>\n<li>Define, document, and conduct security scanning on Anduril&#39;s products and accredited information systems.</li>\n<li>Scope, shape, and orchestrate the development of features to ensure products meet compliance goals.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards.</li>\n<li>Integrate security best practices into Anduril&#39;s Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams.</li>\n<li>Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats.</li>\n<li>Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies.</li>\n<li>Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems.</li>\n<li>Maintain and update System Security Plans (SSPs), POA&amp;Ms, and other accreditation documentation.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA).</li>\n<li>Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards.</li>\n<li>Experience with cybersecurity in unmanned and ground control system within DoD environments.</li>\n<li>Experience with containerization and kubernetes along with the best practices for securing them.</li>\n<li>Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices.</li>\n</ul>\n<p>Salary: The salary range for this role is $146,000-$194,000 USD.</p>\n<p>Benefits: Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans at little to no cost to you. Anduril also offers income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.</p>\n<p>Protecting Yourself from Recruitment Scams: Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We&#39;ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>\n<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>\n<ul>\n<li>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</li>\n<li>Please always verify communications:</li>\n<li>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</li>\n<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency&#39;s authenticity by reaching out to contact@anduril.com.</li>\n<li>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not respond or engage with the sender.</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_5ca1d076-26a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4861096007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards","Integrate security best practices into Anduril's Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams","Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats","Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies","Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems"],"x-skills-preferred":["Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA)","Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards","Experience with cybersecurity in unmanned and ground control system within DoD environments","Experience with containerization and kubernetes along with the best practices for securing them","Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices"],"datePosted":"2026-04-18T15:44:18.711Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, District of Columbia, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards, Integrate security best practices into Anduril's Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams, Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats, Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies, Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems, Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA), Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards, Experience with cybersecurity in unmanned and ground control system within DoD environments, Experience with containerization and kubernetes along with the best practices for securing them, Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bb1aad7-0aa"},"title":"Model Quality Software Engineer, Claude Code","description":"<p>We&#39;re looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you&#39;ll partner directly with Anthropic&#39;s researchers and engineering leadership to shape how we measure, understand, and improve Claude&#39;s coding capabilities.</p>\n<p>As a senior individual contributor, you&#39;ll be accountable for the technical decisions that ripple across the team and beyond. You&#39;ll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team</li>\n</ul>\n<ul>\n<li>Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap</li>\n</ul>\n<ul>\n<li>Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years</li>\n</ul>\n<ul>\n<li>Identify the highest-leverage engineering investments,often before anyone has asked for them,and drive them to completion</li>\n</ul>\n<ul>\n<li>Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them</li>\n</ul>\n<ul>\n<li>Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale</li>\n</ul>\n<ul>\n<li>Partner with research leads to translate ambiguous research questions into durable engineering solutions</li>\n</ul>\n<ul>\n<li>Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health</li>\n</ul>\n<p>If you have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization, you may be a good fit for this role.</p>\n<p>Strong candidates may also have experience with designing or scaling eval/evaluation frameworks for ML systems, reinforcement learning infrastructure or training systems, leading technical initiatives in high-performance, demanding environments, research computing, scientific infrastructure, or developer platforms at scale, a strong quantitative foundation (math, physics, or related fields), and expertise in Python and TypeScript.</p>\n<p>The annual compensation range for this role is $405,000-$485,000 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_1bb1aad7-0aa","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/5098025008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["software engineering","evaluation systems","research infrastructure","internal tooling","eval frameworks","model capabilities","research roadmap","infrastructure design","experimentation","engineering investments","product research","mentoring","design review","engineering standards","critical systems","architecture","production reliability"],"x-skills-preferred":["Python","TypeScript","ML systems","reinforcement learning","research computing","scientific infrastructure","developer platforms"],"datePosted":"2026-04-18T15:43:15.872Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, evaluation systems, research infrastructure, internal tooling, eval frameworks, model capabilities, research roadmap, infrastructure design, experimentation, engineering investments, product research, mentoring, design review, engineering standards, critical systems, architecture, production reliability, Python, TypeScript, ML systems, reinforcement learning, research computing, scientific infrastructure, developer platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_245fc3eb-ed7"},"title":"Senior Engineer, Systems Test","description":"<p>We&#39;re seeking a Senior Engineer to join our DC-based team. As a Senior Engineer, you&#39;ll focus on simulation-driven testing, automation, documentation, and software quality assurance for Hivemind autonomy. You&#39;ll build and execute comprehensive test frameworks and methodologies to ensure our autonomy stack performs reliably across simulated and real-world mission conditions.</p>\n<p>Shield AI is scaling and growing rapidly. The ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to contribute to something truly remarkable,advancing autonomy that is changing the world,while thriving in a mission-driven, collaborative, and high-performance culture.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases.</li>\n<li>Identify, reproduce, and diagnose software issues,collaborating closely with development teams to drive fixes and improvements.</li>\n<li>Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met.</li>\n<li>Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance.</li>\n<li>Build tools and utilities in Python to automate testing, data processing, and analysis workflows.</li>\n<li>Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments.</li>\n<li>Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation.</li>\n<li>Support the scaling and reliability of simulation infrastructure used for large-scale software validation.</li>\n<li>Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams.</li>\n<li>Work with developers to integrate test coverage directly into the development pipeline (CI/CD).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field.</li>\n<li>3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems.</li>\n<li>Proficiency in Python for test automation, scripting, and data analysis.</li>\n<li>Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools.</li>\n<li>Strong understanding of software testing principles, including integration, regression, and system-level validation.</li>\n<li>Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins).</li>\n<li>Excellent analytical, problem-solving, and debugging skills.</li>\n<li>Strong collaboration and communication skills with software and systems teams.</li>\n<li>Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment.</li>\n<li>Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity.</li>\n<li>U.S. Citizenship and ability to obtain and maintain a SECRET clearance.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Experience testing autonomous systems, robotics software, or flight autonomy algorithms.</li>\n<li>Familiarity with C++ and software/hardware integration concepts.</li>\n<li>Experience with HIL or VIL test environments.</li>\n<li>Exposure to machine learning or AI-driven autonomy systems.</li>\n<li>Background in simulation infrastructure design, distributed testing, or test data management.</li>\n<li>Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.</li>\n<li>Experience with aerospace, defense, or mission-critical software.</li>\n<li>Active SECRET clearance preferred.</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_245fc3eb-ed7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/498f7d45-a951-45ad-aa7f-3f54bf3dd2bb","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$110,000 - 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