Systems analyst jobs in Concord, CA - 2,104 jobs

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

A leading technology firm is seeking an Analyst for Corporate Development and M&A to drive its growth strategy. The ideal candidate will support all phases of M&A, manage cross-functional teams, and conduct detailed market analyses. Applicants should have experience in investment banking or corporate development, with strong financial modeling skills. This is an opportunity to make a meaningful impact in a fast-paced environment, with a compensation range up to $140,000 plus bonuses and benefits. #J-18808-Ljbffr

A recruitment firm is looking for a qualified professional with expertise in procurement processes and ERP integrations. Candidates should hold a Bachelor's degree in a related field and possess over 6 years of experience with Coupa PTP/ETP modules. Strong understanding of invoicing and expense management processes is essential, along with excellent communication and stakeholder management skills. Additional experience with automation tools will be advantageous. This is an on-site position offering a dynamic work environment in California. #J-18808-Ljbffr

A forward-thinking AI company based in San Francisco is seeking a Senior Business Systems Analyst to join their Finance Systems team. The role involves overseeing the financial planning platform, enhancing data management processes, and collaborating with stakeholders to implement technical solutions that drive effective financial planning. Candidates need extensive experience in business systems analysis, particularly in financial planning, and proficiency in various enterprise systems. This role offers competitive compensation and aims to build scalable financial solutions. #J-18808-Ljbffr

A top financial institution is seeking a Principal Site Reliability Engineer to enhance reliability and operational efficiency. The role involves managing critical incident management and infrastructure design. Candidates must have over 10 years of experience in site reliability engineering, along with strong technical and project leadership skills. This position offers the chance to influence end-to-end software development processes within a dynamic team environment. #J-18808-Ljbffr

HRIS & Payroll Systems Optimization Consultant (Part-Time, Non-Benefited) About BPM What does BPM stand for? Innovation, opportunity, community, diversity, inclusivity, flexibility - and so much more. BPM stands for Because People Matter - because at our core, our people drive everything we do and how we do it. We are a forward-thinking, full-service accounting and advisory firm providing modern solutions to businesses across the globe. We focus on comprehensive assurance, tax, and consulting services for our clients, while providing our people and community with the resources to lead meaningful and purposeful lives. While we are one of the largest California-based accounting firms, our flexible work locations and schedules mean we have professionals across the country. Our diverse client base and industries keep our teams intellectually challenged every day and allow us to deliver meaningful impact through our consulting work. Position Overview You're a systems-minded payroll and HR professional who loves getting inside HR and payroll platforms and making them work better. You understand how payroll and HR operations actually run - and you know how to optimize systems like Paycor, Workday, ADP, Paylocity, UKG, or similar platforms so that clients can operate more efficiently, accurately, and confidently. This is a client-facing consulting role focused on: System optimization Configuration and setup Process improvement Client support and training We're looking for someone who understands payroll and HR operations and knows how to translate that knowledge into well-configured, well-functioning systems. Process payroll and also helped implement or configure systems Led HRIS or payroll system transitions Supported Paycor or Workday as a system owner or power user Worked in construction, manufacturing, or other complex payroll environments The ideal candidate has both payroll processing experience and system implementation/configuration experience - but strong experience in either is welcome. Work Arrangement Part-time, non-benefited consulting role Fully remote with occasional video meetings Flexible schedule based on client needs and project work No daily commute - work from wherever you do your best work Why BPM Our people are the heart of our success. We foster a collaborative, supportive consulting environment where professionals can do meaningful work while maintaining balance and flexibility. Our culture is built on trust, respect, and impact - and we're proud to live our motto every day: Because People Matter. What You'll Do Client Consulting & System Optimization Serve as a trusted advisor to clients on HRIS and payroll system optimization Partner directly with clients to understand their payroll and HR workflows and identify opportunities for improvement Configure, optimize, and support HR and payroll platforms such as Paycor, Workday, ADP, Paylocity, UKG, and similar systems Review existing system setups and recommend improvements to increase efficiency, accuracy, and compliance Support system cleanups, reconfigurations, and process redesign Implementation & Configuration Support Assist with new system implementations, upgrades, and transitions Support system setup, configuration, testing, and go-live activities Help clients transition from legacy systems or PEOs into new platforms Validate payroll configurations including earnings, deductions, taxes, and reporting Payroll & HR Operations Support Support payroll processing and validation as needed Troubleshoot payroll and system issues and drive resolution Ensure payroll configurations align with federal, state, and local compliance requirements Support complex payroll environments including multi-state, union, and job-costing (construction experience is a plus) Client Communication & Training Act as a primary point of contact for system-related questions Communicate clearly and confidently with client stakeholders at all levels Deliver system training and documentation to ensure client self-sufficiency Translate technical system functionality into practical business solutions What You'll Bring 5+ years of experience in payroll and HR operations Experience working with HRIS and payroll platforms such as Paycor, Workday, ADP, Paylocity, UKG, Ceridian, or similar Experience with system implementation, configuration, optimization, or transitions Strong understanding of payroll processing, taxes, and compliance Client-facing or consulting experience strongly preferred Construction industry payroll experience is a strong plus Strong communication and relationship-building skills Highly organized with strong attention to detail Comfortable working independently in a consulting environment Ability to manage multiple client projects at once $50 - $65 an hour The salary range provided is intended for candidates in the San Francisco Bay Area who meet the minimum requirements of the position. Candidates who do not reside in the San Francisco Bay Area, do not meet the minimum requirements, or exceed the requirements are encouraged to apply and a recruiter will provide you with a range specific to your location and qualifications. #J-18808-Ljbffr

About Capella Space Capella Space is a pioneer in Synthetic Aperture Radar (SAR) satellite technology and space-based signal intelligence. We empower government, commercial, and research organizations around the world with high-resolution, timely Earth insights that drive better decisions - across defense and intelligence, disaster response, infrastructure monitoring, environmental protection, energy, and more. As a U.S.-based company, Capella designs, builds, and operates an advanced constellation of commercial SAR satellites in orbit today. Our satellites are backed by a fully automated tasking, collection, and delivery platform, delivering fast, reliable insights when and where our customers need them most. As a subsidiary of IonQ, a global leader in quantum computing, Capella is charting the future of Earth observation. Together, we're on a mission to bring quantum computing to space - unlocking ultra-secure, encrypted uplink and downlink capabilities, reducing latency, and enabling powerful on-orbit analytics. This visionary integration of advanced remote sensing and quantum technology will support customers with the highest level of data fidelity, security, and speed. Capella was named one of Fast Company's 10 Most Innovative Companies in Space in 2023 and is a trusted partner of the U.S. Space Force, U.S. Air Force, U.S. Navy, NASA, the National Reconnaissance Office, and allied government agencies worldwide. Built In recognized IonQ on three of its 2025 Best Places to Work lists. What Makes Capella Unique? At Capella, we don't just imagine what's possible - we build it. We're a mission-driven team fueled by curiosity, grit, and a shared commitment to redefining the limits of space innovation. Our environment is fast paced, rooted in humble collaboration. Every team member plays a critical role in shaping the future of our technology and our industry. If you're ready to roll up your sleeves and help solve problems that others call impossible-we're the place for you. We believe great ideas can come from anywhere, and we thrive on diverse perspectives that help us move faster, think deeper, and push the boundaries of innovation. Whether you're new to the space industry or a seasoned expert, you'll find a team that values creativity, integrity, and bold thinking. Join us as we build the future of SAR-and take quantum to space. About the Role The Mission Architect serves as the chief payload system architect and integrator for new mission ideas, ensuring emerging technologies are evaluated in the context of real, executable missions. This role translates exploratory technologies into mission architectures, concepts of operations (CONOPS), and system-of-systems designs, acting as the critical bridge between science and technology exploration and customer-relevant mission proposals. The ideal candidate combines deep technical acumen with strategic systems thinking-someone equally comfortable shaping future mission concepts, guiding internal R&D toward mission relevance, and representing the company's vision to customers and partners. Responsibilities Mission Concept Development Lead the creation of mission concepts, reference architectures, and CONOPS for future space missions. Integrate emerging technologies into coherent and credible system designs. Evaluate technical and programmatic feasibility through trade studies, modeling, simulation, and system analysis. Internal Coordination Lead internal advanced concept studies, prototypes, and demonstrations. Partner with radar, systems, and payload leads-as well as PIs-to identify where emerging technologies become mission‑enabling. Coordinate with the Technology Transition Lead to flag promising concepts for handoff to engineering. Collaborate with the Technical Director to develop presentation materials, budget justifications, and investment proposals for internal and external stakeholders. Strategic Analysis Perform technology forecasting and gap analysis aligned with company strategy and long‑term technology roadmaps. Identify cross‑cutting opportunities where multiple emerging technologies converge to enable new mission architectures. Track competitor and government R&D investments (e.g., DARPA, NASA STMD, AFRL) to inform positioning and strategic planning. Customer, Stakeholder & External Engagement Serve as a technical interface with DARPA, NASA STMD, AFRL, and other government or commercial customers on early‑stage concept studies. Support proposal development including concept papers, white papers, and BAA responses. Represent the company at technical workshops, conferences, and industry consortia, showcasing innovative mission concepts. Present future mission concepts to customers and stakeholders, clearly articulating feasibility, value, and alignment with objectives. Leadership & Mentorship Lead a small, high‑performing team of principal investigators and engineers developing mission concept studies. Mentor junior engineers in trade study execution, modeling and simulation, and proposal development. Foster a culture of experimentation, technical excellence, and disciplined risk‑taking, ensuring a balance between innovation and rigor. Metrics of Success Delivery of credible, well‑documented mission studies with traceable assumptions and system models. Achievement of 6.1/6.2 contract wins and alignment of internal IRAD toward validated concepts. Successful transition of concepts into funded pathfinder or prototype programs. Recognition by customers and partners as a thought leader in mission architecture and payload integration. Sustained pipeline of mission concepts feeding both internal R&D and mainline engineering activities. Qualifications S. or M.S. in Aerospace Engineering, Systems Engineering, Physics, or related field (Ph.D. preferred). 10+ years of experience in space mission design, architecture, or systems integration, including work on early‑stage concept development. Proven ability to translate emerging technologies into executable mission architectures and CONOPS. Experience interfacing with government R&D agencies (DARPA, AFRL, NASA, etc.) and contributing to competitive proposal efforts. Strong modeling, analytical, and trade study skills; familiarity with model‑based systems engineering (MBSE) tools preferred. Demonstrated leadership of multi‑disciplinary teams and ability to guide conceptual efforts toward tangible outcomes. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Compensation The annual salary range for this role as it is posted is $153,636 - $194,004. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), specific office location and calibrated against relevant market data and internal team equity. Benefits listed in this posting may vary depending on the nature of your employment with Capella Space. Benefits/Perks In addition to an opportunity to take part in an innovative, collaborative and fast‑growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation: We provide extensive medical coverage, including strong vision and dental plans, flexible spending accounts, and additional supplemental health options. Paid Flexible Time Off Policy 401K Plan to invest in your long‑term retirement goals Parental Leave program Lifestyle Spending Account Commuter & Parking Benefits Mental Health Resources Monthly Phone StipendFurry friends? We've got you covered with dog‑friendly work environment & them with pet insurance options Equal Opportunity Statement Capella Space is an equal opportunity employer, committed to creating a diverse and inclusive workplace, and upholding equitable hiring practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you need assistance or require an accommodation during the job application process, please notify *************************** To learn more about us, explore our site: ***************************** and follow us on X and LinkedIn to see our SAR imagery! #J-18808-Ljbffr

As a Tech Venturing & Innovation Sr. Analyst you will need to be at the forefront of cutting‑edge technologies. You will need to develop new partnerships across the organization and with external partners to build future capabilities together for PepsiCo's operation. You will drive the startup research, analysis & evaluations and lead the rapid pilot onboarding process. Responsibilities Lead cross‑functionally execution of strategic tech innovation programs across Marketing functions, Digital Commerce, AFH (Away-From-Home), and Strategy & Transformation organizations: Streamline working processes with support functions such as EA (Enterprise Architecture), Info Security, Legal, Finance, etc. Partner with project leaders to create project deliverables Develop briefs for new technical capabilities Evaluate startups or other solutions using data‑based approaches and drive the cross‑functional selection process Lead the rapid pilot onboarding process and own vendor management Lead the startup use case research, analysis & evaluation of solution fit to use case Be the face of PepLabs; act as the “eyes and ears” for the organization to source the best emerging tech solutions Build use case assessment criteria to systematically evaluate which startup's technology & overall solution has potential to solve the use case Assess competencies vs. Use case Engage & coordinate cross functional SMEs input to assessment criteria Provide process and pilot thought partnership to business partners and Senior Executives Maintain an external mindset, including staying on top of consumer, competitive, and macroeconomic / technology trends Lead project management across the team and support governance and reporting Contribute to capability building for the entire PepsiCo Labs function (e.g., Training, Knowledge Management, Process documentation, etc.) Manage and coordinate logistics for sector, functional and Labs program meetings with internal and external participants Compensation and Benefits: The expected compensation range for this position is between $76,400 - $127,850. Location, confirmed job‑related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 8% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Experience/exposure in technology and digital innovation Knowledge of PepsiCo's businesses Experience in Consumer and/or Commercial functional areas a bonus, e.g., Marketing, Insights, Digital Commerce, Sales Proficient in Microsoft Outlook, Word, Excel, and PowerPoint with the ability to learn new tools quickly Strong teamwork, professionalism, and interaction with all management levels Effective communication skills, strong collaboration skills and an impeccable standard of excellence Results‑driven with timely task completion Ability to handle multiple priorities, including the ability to make clear and timely decisions Self‑motivated and goal‑oriented Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity #J-18808-Ljbffr

Now Hiring: Systems Software Engineer II 📍 Pleasanton, CA | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid California driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform. This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks. Candidates should have 3+ years of experience, solid software engineering skills, and a passion for solving real-world problems. The position offers competitive compensation and benefits, with a salary range of $176,000 to $220,000 USD in San Francisco. #J-18808-Ljbffr

* Requirements gathering* Data modeling in Dataverse* App design (Canvas and/or Model-driven)* Workflow orchestration with Power Automate* Integrations with Microsoft 365, Azure, and third-party systems* Familiarity with **Azure services** supporting Power Platform (Logic Apps, Azure AD, API Management)* Experience with system integration patterns and iPaaS concepts* Understanding of enterprise application architecture and workflow orchestration* Strong analytical mindset with the ability to decompose complex processes* Excellent documentation and technical writing skills* Proven ability to manage competing priorities across multiple stakeholders* Comfortable working in Agile/Scrum environments* Understanding of **data protection, access control, and security design**, especially in healthcare or HIPAA-regulated environments* Experience implementing role-based access and least-privilege principles within Power Platform* Power Platform certifications (PL-100, PL-200, PL-400, PL-600)* Power Platform community contributions, blogs, or public solutions* Familiarity with process modeling tools (Visio, Lucidchart)- Experience with: * Power BI * Azure DevOps or GitHub for solution management * JavaScript, Power Fx, or REST APIs* **7+ years** in systems analysis, application development, or technical solution delivery* **3+ years of hands-on, production experience with Microsoft Power Platform*** Demonstrated delivery of **multiple Power Automate flows and Power Apps used by real business users*** Proven experience leading automation or low-code initiatives from concept to production* Experience supporting regulated or complex environments (healthcare strongly preferred) A job with benefits that goes above and beyond.From competitive salaries to investment and retirement opportunities, we offer our employees first-rate benefits. Coupled with outstanding health coverage, robust wellness programs, and additional perks, we make a rewarding career even more rewarding. #J-18808-Ljbffr

A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

A cutting-edge AI startup in San Francisco is seeking a Machine Learning Engineer. In this role, you will build and improve core ML systems that drive custom model training platforms. You will lead projects from data intake to model delivery, creating robust tools and ensuring model performance. The ideal candidate has experience in AI model training with PyTorch, data processing, and creating benchmarks. Offering competitive salaries within a range of $220,000 to $320,000, plus equity and benefits. #J-18808-Ljbffr

A cloud storage technology company in San Francisco is looking for a Distributed Systems Engineer to work across the stack in building innovative storage solutions. You will be oncall for production systems and will design distributed systems to meet customer needs. The ideal candidate has over 3 years of experience in distributed systems, problem solving skills, and is passionate about enhancing customer experiences. Join us in our mission to revolutionize cloud storage with the next generation of applications. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

A dynamic technology firm in San Francisco is seeking a Finance professional to join their team. You will drive financial planning and analysis for a growing Cloud business. The ideal candidate has 5+ years of experience in investment banking or corporate finance and excels in financial modeling. The role includes budgeting, forecasting, and performance analysis, with compensation ranging from $130,000 to $165,000 plus bonuses and stock options. Benefits include health insurance and a 401(k). #J-18808-Ljbffr

Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system-a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we've embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn't follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other's growth and success-and take the well‑being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. Machine Learning Systems Engineer Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self‑improving agents-all via an OpenAI‑compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron‑LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher‑lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 - October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC‑0 Licensed) focused on democratizing access to cutting‑edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self‑improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large‑scale language model applications on top of it. You'll operate at the intersection of high-performance computing, distributed systems, and cutting‑edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high‑performance inference engines and optimization techniques. Work on integration between vLLM, Megatron‑LM, and HuggingFace ecosystems. Build tools for seamless model training, fine‑tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self‑improving AI agents. Who You Are Technical Skills Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi‑GPU and multi‑node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron‑LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem. Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi‑head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well‑being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well‑being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO - Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays-where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave - Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events - Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge‑sharing - Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process. Privacy Policy EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here. Equal Opportunity RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. #J-18808-Ljbffr

Role As a distributed systems engineer, you'll work across the stack to solve problems as they come up and help build Archil volumes. You'll have significant influence over the technical and product direction. We'll expect you to be able to: Be oncall for a production system to help our customers if anything goes wrong. Build out never-before-seen capabilities in a storage service Design distributed systems interactions for atomicity and idempotency Deploy infrastructure and generalize infrastructure across different clouds Operate through changing customer requirements with lots of ambiguity Who are you? You have 3+ years of experience building and operating distributed systems (flexible). Ideally, you've worked at a startup before, so you know how chaotic this time can be. You've successfully resolved disagreements at work before, and you understand that the highest priority is helping our customers - not being right. You're comfortable debugging problems that occur as a result of failures in multiple, different systems, using tools like metrics and logs. You've been paged at 3am to solve a complex production issue before. You're knowledgeable about distributed systems: you get how consensus works, you know how to scale systems, and you know what pitfalls in API design to avoid. You're familiar with how to optimize the performance of a system, including a general sense of how much latency different operations take, and what kind of bottlenecks could lead to a reduction in potential throughput. Most of all, you know how computers work from the silicon up. Someone once asked you in an interview “what happens when you go to Google.com”, and there wasn't enough time in the interview to talk about all of the steps. Why join us? By building the highest-performance, simplest storage product in the cloud, we have a great chance of changing how the world builds the next-generation of applications (and with AI, more applications will be written in the next 5 years than ever before). We'd love for your to be a part of our journey. How to join? Show us that you're knowledgeable about the space that we're working in on your application. It's up to you how you do this, but one potential way is by answering one of the following questions: How do you think our system works? What do you think our biggest technical challenge is? What would make our system not work? About Archil Archil is on a mission to change how developers build applications in the cloud, by building the next, default storage platform in the cloud. Over the past 15 years, S3 has become the default way to store inactive data sets in the cloud, but the next-generation of AI and analytics applications need to actively process more data than ever before. We're solving this problem by building the first Volume storage product that's as fast as EBS, infinitely scaleable like S3, and connects to existing data sets in S3 and other repositories. Our customers choose Archil because this architecture radically simplifies how they think about working with their data (every application becomes stateless, no cold-start latencies, and no need to worry about checkpointing or backup). Hacker News agrees. Hunter, the founder, has 10 years of experience building and operating cloud storage, including helping to launch Amazon's EFS product and working on bleeding-edge storage at Netflix. He started the company after working with hundreds of customers across these roles, and identifying a need for a new kind of storage product. We're fully in-person in San Francisco. If you're also someone interested in distributed systems, completely focused on how to make customers successful, and interested in solving really big technical challenges, we'd love for you to join us. #J-18808-Ljbffr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems. Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: Have 4+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large scale distributed systems Large scale LLM training Python Implementing LLM finetuning algorithms, such as RLHF Representative projects: Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$315,000-$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: 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. Visa sponsorship: We do sponsor visas! However, we aren'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. We encourage you to apply even if you do not believe you meet every single qualification. 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're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. #J-18808-Ljbffr