Software systems engineer jobs in Alamo, CA - 13,560 jobs

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 tech organization in San Francisco is seeking an experienced software engineer to tackle complex challenges in the Device Software organization. The role requires over 10 years of experience in systems programming, exceptional coding skills in Rust, and familiarity with security-critical applications. This position offers a salary range of $287,000 - $350,000, along with comprehensive employee benefits. #J-18808-Ljbffr

A technology company in San Francisco is seeking an experienced software developer to join their Device Software team, focusing on the biometric imaging system. The ideal candidate will have over 5 years of experience with Rust and Linux, and will play a crucial role in optimizing software for a global fleet of devices used by millions. This position offers a competitive salary range of $220,000 - $270,000 plus comprehensive benefits. #J-18808-Ljbffr

A leading space technology company in San Francisco is seeking an Embedded Test Engineer responsible for testing and validating avionics hardware and software. This role involves working with engineering teams, creating test procedures, and ensuring flight readiness for spacecraft missions. The ideal candidate has a Bachelor's Degree in engineering and over 5 years of experience in software/firmware testing in aerospace. The company offers a generous compensation package along with comprehensive benefits including health insurance and flexible time off. #J-18808-Ljbffr

A robotics innovation firm located in San Francisco is on the lookout for exceptional engineers to focus on the design of embedded systems, PCBs, and sensors for robotics. Candidates should have a background in electrical engineering and a passion for technology. Ideal applicants will possess strong debugging skills, knowledge of ECAD tools, and experience in sensor integration. Join a mission-driven team that is innovating technology for real-world applications. #J-18808-Ljbffr

Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass‑manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world's fastest‑evolving digital threats. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. What We're Building We're building the AI‑native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For We're looking for an experienced full‑stack engineer to help build out our new Simulation product. We only just recently launched it but market traction is growing extremely fast and we need people excited to jump and do whatever it takes to build what our customers desperately want. For example: Build out a “Cursor for phishing simulation” flow that lets users create simulations using natural language. Build out voice deepfakes that use AI to call employees pretending to be their co‑worker. Here are some additional resources on what we built and why. What We Offer 🚀 A mission‑driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density 🍽️ Free lunch and dinner in the office 🌴 Flexible PTO ✈️ Quarterly team offsites Join Doppel Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective. We're not just another cybersecurity company. We're defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. #J-18808-Ljbffr

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #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

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

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 leading technology company is looking for a talented software engineer for the Core Networking team in San Francisco. This role involves designing and developing innovative networking technologies, focusing on firmware solutions for TCP/IP Networking. The ideal candidate has expertise in C/C++, embedded systems, and a strong ability to mentor junior team members. This position offers a competitive salary and a comprehensive benefits package, including stock options and educational reimbursements. #J-18808-Ljbffr

The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We\'re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. Qualifications Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $555K #J-18808-Ljbffr

A leading AI research company in New York seeks a Machine Learning Systems Engineer to build cutting-edge systems for training AI models. This role involves developing critical algorithms, improving system performance, and collaborating with a dynamic research team. Ideal candidates have a strong software engineering background and care about the societal impacts of AI technology. The expected salary range is $300,000 - $405,000 USD, with a hybrid work policy requiring 25% in-office presence. #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

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Collaborate with development teams to make the systems they design and operate more reliable. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. Implement fault-tolerant and resilient design patterns to minimize service disruptions. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company. Strong proficiency in cloud infrastructure. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Knowledge of IaC tools such as Terraform or CloudFormation. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. 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Machine Learning Systems Engineer, Research ToolsAbout 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 Research Tools 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 2+ 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: 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: $300,000 - $405,000 USD Logistics 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. Guidance on Candidates' AI Usage:Learn aboutour policy for using AI in our application process Create a Job Alert Interested in building your career at Anthropic? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences * How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Are you open to working in-person in one of our offices 25% of the time? * Select... When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select... We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.” Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Additional Information * Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Are you open to relocation for this role? * Select... What is the address from which you plan on working? If you would need to relocate, please type "relocating". Have you ever interviewed at Anthropic before? * Select... Do you have 8 or more years of software engineering experience? * Select... Do you have experience building and maintaining data processing pipelines or infrastructure at scale? * Select... Have you worked directly with technical stakeholders (like researchers or data scientists) to understand and implement their infrastructure needs? * Select... Are you proficient in Python and have experience working with cloud platforms (AWS/GCP)? * Select... Have you independently owned and delivered technical projects from conception to production? * Select... Do you require visa sponsorship? * Select... Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select... 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If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at ***************** . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... 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