Computer engineer jobs in Daly City, California - Page 12Create job alerts

Software Engineer - Localization, State Estimation & Prediction San Francisco, US About Lodestar Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product MITHRIL is our hardware-agnostic, AI-enabled autonomy software suite that enables us to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating MITHRIL into single unified platform, we deliver an end-to-end, autonomous in-space bodyguarding service. About the Job At Lodestar, as a Software Engineer - Localization, State Estimation & Prediction, you'll be leading the development of our state estimation and prediction models at the core of Lodestar's flagship product, MITHRIL. You'll be focusing on researching and developing algorithms that fuse probabilistic estimation with machine learning to track targets, predict trajectories and assess intent. We proudly have an "extreme ownership" oriented engineering culture. What You'll Do • Design and implement Lodestar's core state estimation and prediction architecture for autonomous spacecraft operations, • Research and implement novel estimation and prediction algorithms - everything from lit. review, through training and tuning, to optimisation and deployment, • Develop classical and neural estimators to track the current state and trajectory of multiple dynamic targets in real time, • Create neural models to forecast future trajectories and behavioral patterns of targets, • Implement intent inference models to identify actions and dynamically rank threat levels, • Integrate state estimation and prediction models into mission simulation environments and autonomy decision systems, • Bachelor's or Master's degree in Computer Science, Aerospace, Robotics, Applied Mathematics, a related field, or equivalent experience, • 2+ years of distinguished industry experience in state estimation, aerospace, robotics, or a related field, • Strong proficiency in C++ and Python, • Demonstrated experience with probabilistic state estimation (Kalman filters, particle filters, Bayesian inference), • Experience with deep learning frameworks (PyTorch, TensorFlow) for sequence modeling (seq2seq, RNNs, LSTMs, Transformers), • Track record implementing state estimation pipelines in real-time or safety-critical systems, • Experience deploying sequence-to-sequence models for forecasting in dynamic environments, • Familiarity with sensor fusion techniques (e.g., combining radar, optical, and inertial data), • Proficiency with GPU acceleration (CUDA, TensorRT) for neural network training and inference, • Experience with Linux, Git, and CI/CD pipelines, • Comfortable with containerization tools such as Docker and Kubernetes, • Familiarity with real-time systems, multi-threading, and performance optimization To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Compensation & Benefits • Pay Range:, • (E1) Junior Software Engineer: $120,000 - $140,000 / year, • (E2) Software Engineer: $135,000 - $170,000 / year, • (E3) Senior Software Engineer: Competitive, • Meaningful equity incentives as part of our employee option pool, • Flexible PTO with generous paid vacation, holidays, and sick leave, • Comprehensive medical, dental & vision coverage, • 401(k) retirement plan with company match Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan. Lodestar is an Equal Opportunity Employer; employment with Lodestar is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment. Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. As a Software Dev Engineer III on Amazon IVS' Real Time Video team, you will design and build the systems that power real-time and sub-second video distribution at massive scale. You will work deep in the stack to ensure low-latency, high-reliability delivery for millions of concurrent viewers. You'll collaborate with a team of engineers who care deeply about performance, correctness, and scale, and you'll have the opportunity to shape the architecture of next-generation streaming infrastructure. Key job responsibilities • Design, implement, and optimize high-performance WebRTC distribution components capable of handling millions of concurrent viewers with sub-second latency. Work at the packet level to diagnose, tune, and improve transport behavior across UDP and TCP-based protocols, ensuring optimal video quality and reliability., • Collaborate with cross-functional teams to define and evolve the architecture of real-time media delivery infrastructure. Drive technical decisions that balance scalability, cost efficiency, and customer experience., • Contribute to protocol design and implementation for emerging low-latency transport mechanisms, including Media over QUIC (MoQ) and other next-generation streaming protocols. Stay current with industry standards and innovations., • Identify and resolve performance bottlenecks through profiling, experimentation, and rigorous engineering. Use data-driven approaches to optimize CPU, memory, and network utilization across distributed systems., • Mentor junior engineers and conduct code reviews to maintain high engineering standards. Participate in on-call rotations to ensure service reliability and rapid incident response. Document architectural decisions and contribute to technical design reviews. About the team Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution from AWS that enables low-latency and real-time video experiences for millions of viewers worldwide. We power engaging live experiences for some of the largest customers in the live video space and continuously push the boundaries of what's possible with interactive video technology. BASIC QUALIFICATIONS • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team, • Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go, • Deep understanding of WebRTC architecture, including signaling, ICE, DTLS, SRTP, and media negotiation PREFERRED QUALIFICATIONS • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Contributions to open-source networking or media projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Dallas, TX; Salt Lake City, UT; Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer in the WEX Mobility Engineering organization. This role will sit in the Mobility team that caters fleet management and mobility payments solutions to our large customers. Mobility development team spans across USA, Brazil, and India. Our Mobility systems provide SaaS and API solutions to various customers. WEX Mobility products enable credit issuance to fleet companies and their workers in the form of WEX or cobranded credit cards, usable at fueling stations and select other merchants. At WEX, we provide fleet managers and operators with fuel discounts, and flexibility to configure spend controls that restrict fleet members to use their cards at configured merchants, for configured amounts and velocity. How you'll make an impact: * Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services. * Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication. * Craft systems designs, lead design decisions, and drive alignment with other senior engineers. * Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests. * Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements. * Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market * Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features. * Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices. * Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability. * Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution * Maintain robust documentation (design docs, run books, change management docs, and readiness plans) * Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement. * Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress. Experience you'll bring: * Bachelor's degree in Computer Science or Software Engineering * 8 years of professional experience in software engineering. * Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills. * Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets. * Excellent written and verbal communication skills, and a collaborative and empathetic mindset. * Proficiency in backend development, with proficiency expertise in Java or C#, and frameworks like SpringBoot, building and optimizing RESTful APIs, ODATA framework, and SQL * Experience in leveraging AI-enabled development tools such as Cursor AI, Kiro and GitHub Copilot to accelerate feature delivery, automate documentation, and enhance code quality. Preferred Qualifications * Master's degree in computer science or software engineering. * 8 years of experience in software engineering. * Experience with event-driven architecture and tools like Kafka. * Experience working on card payments * Familiarity with cloud-native architecture (containerization using tools such as Docker and Kubernetes). * Experience building AI skills & deploying AI solutions to production environments * Experience building production-grade AI agents or copilots * Familiarity with multi-agent systems and distributed AI architectures * Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus) * Knowledge of AI evaluation techniques, safety practices, and responsible AI principles The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $121,500.00 - $145,500.00

Software Engineer, Supercomputing Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role We're looking for an engineer to design, build, and operate the GPU supercomputing environment that powers large‑scale training and inference. You will deliver high‑performant, reliable, and cost‑efficient compute so our users and researchers can move fast at scale. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. What You'll Do • Operate and automate large GPU clusters including provisioning, imaging, and capacity planning., • Write software that abstracts cluster management and presents a unified interface for training and inference., • Extend scheduling/orchestration (Kubernetes, Slurm, or similar) for topology‑aware placement, preemption, quotas, and fair‑share multi‑tenancy., • Monitor and improve operational metrics of speed, reliability, and error recovery., • Build reliable storage and artifact paths for datasets, checkpoints, and logs with clear retention and lineage. Minimum qualifications: • Bachelor's degree or equivalent experience in computer science, engineering, or similar., • Proficiency in at least one backend language (we use Python or Rust)., • Experience operating large‑scale clusters and container orchestration systems (e.g. Kubernetes or Slurm)., • Comfort operating across the stack and owning projects end-to-end., • Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts., • Strong systems background: Linux, networking, and infrastructure‑as‑code., • Familiarity with CUDA/NCCL and performance profiling for distributed training/inference., • Prior work supporting large‑scale model training or inference environments., • Understanding of deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and their underlying system architectures., • Location: This role is based in San Francisco, California., • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD., • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

About Tahoe Therapeutics Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world's largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them. Your role With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we're looking for people who want to push the frontier of what's possible. As a Senior Machine Learning Engineer, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe's large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery. Qualifications - Required • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience., • Exceptional engineering skills to iterate quickly on data processing and training pipelines, • Experience in building, testing, training, and deploying modern neural network architectures such as Transformers., • Experience with frameworks like PyTorch, Tensorflow, Keras, JAX and the ability to write hardware optimized code for distributed training Qualifications - Desirable, • Experience with distributed deep learning using frameworks such as HF Accelerate, Deepspeed, Composer, TorchTitan, Megatron etc., • Experience with training large neural networks on multiple compute nodes. Key Responsibilities, • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to train AI virtual cell models on our massive single cell datasets., • Work together with ML Scientists to develop the next generation of compute optimized models like Tahoe-x1. Benefits, • Unlimited Paid Time Off (PTO)., • Monthly Lunch budget, • One-time Office set up budget, • US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents. This position requires on-site presence at our South San Francisco office a minimum of three days per week. We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Full Stack Engineer (Crypto x AI) - SF Onsite United States We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities • Design and implement AI platforms, encompassing both front-end interfaces and back-end services., • Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization., • Deploy AI models into production environments, ensuring performance, scalability, and reliability., • Develop and maintain data processing pipelines to ensure data quality and consistency., • Stay updated on AI technology trends, advocating for the integration of new technologies into our products., • Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field., • 5 years of full-stack development experience, proficient in both front-end and back-end technologies., • Expertise in front-end and back-end technologies (especially Golang), • Eager to explore and could use new technologies related to AI that help improve working efficiency, • Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation., • Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations., • Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB., • Experience in deploying and optimizing AI agent, • Experience contributing to open-source projects, • Build high-performance APIs and microservices to support large-scale Web3 application, • Familiarity with large-scale data processing technologies such as Hadoop or Spark.

Software Engineer - File System Services, Core OS Device storage is a valuable resource, so it's important that we manage it correctly. Are you passionate about learning how data is managed and how you can better utilize disk space? Apple's Filesystem Services team within the CoreOS organization is seeking an outstanding engineer to build and productize a comprehensive disk space management system designed to help users better utilize disk space on their devices. This includes building an empirical algorithm, telemetry systems to gather data/metrics, and tools to analyze disk usage to ensure that the system behaves as designed. The File System Services Team is looking for a candidate with a combination of strong programming skills and a creative, user-focused mindset. You will collaborate with engineers in several technical areas who have crafted the entire range of filesystem and storage capabilities. In this role, you will be part of a team responsible for a central framework for reporting disk usage that will be used by other UI services, as well as a telemetry framework for gathering disk usage data by app/category. By using this data, you will be able to identify violating components, suggest potential solutions, and drive responsible teams to resolve space issues. Minimum qualifications include: • 3+ years of professional software engineering experience, • Strong computer science fundamentals, object-oriented programming and design skills, • Python for scripting, automation, and test infrastructure., • Solid understanding of operating systems and file systems concepts, • Excellent problem solving, critical thinking, and communication skills, • BS/MS in computer science or equivalent., • Swift programming a plus

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: * Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. * Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. * Design and implement APIs to facilitate data interactions between internal services and external data sources. * Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. * Optimize backend services for performance, scalability, and security in a distributed computing environment. * Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. * Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. * Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: * BS/MS/PhD in Computer Science or a related field. * 4+ years of industry experience in full-stack development. * Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. * Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). * Experience building data-intensive applications that handle large-scale datasets. * Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). * Prior experience with web crawling and large-scale data processing is a plus. * Strong problem-solving skills and ability to balance multiple tasks in a fast-moving environment. * Excellent communication and collaboration skills. 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. Compensation Range: $293K - $385K

About Us The future will have more chips, in more varieties, for more applications than ever before. The current way of designing, testing, and manufacturing them can't keep up. Outdated chip development processes are the present rate limiter on humanity's future. Bronco's mission is to keep Moore's law going by building AI agents that automate large swaths of repetitive chip verification and design. We're backed by tier-1 Silicon Valley investors and deployed with some of the largest chip companies in the world, supporting production SoC designs at leading-edge process nodes. About the Role As a Founding AI Engineer, you will own the core intelligence of Bronco's agents. That means designing the training pipelines, reward models, and evaluation harnesses that will make sure our agents actually succeed not just in benchmarks but on real production tapes. The ideal candidate has built and shipped agentic AI systems as a founder, as a founding engineer, or as part of an industry research lab. You are high agency, know how to attack a problem, and can build the infrastructure to systematically make your systems better. What You'll Do • Design and implement post-training pipelines for domain-specific model behavior across DV tasks - testbench generation, bug triage, coverage closure, • Develop reinforcement learning setups, including reward modeling and RLHF/RLAIF pipelines, to improve agent decision-making on long-horizon verification tasks, • Build tool interfaces, scaffolding, and execution harnesses that allow models to interact reliably with EDA environments and RTL artifacts, • Iterate with silicon domain experts and customers to encode verification knowledge into training data, reward signals, and evals that measure real agent capability - not proxy metrics, • Stay current with frontier research in LLM reasoning, RL for agents, and tool use - and bring what's relevant into production We'd Like to See, • You have shipped agentic AI systems that work in the real world, • Experience at an industry research lab, as a past founder, or as a founding engineer at an AI startup, • Deep hands-on experience with post-training: RLHF, DPO, or equivalent, • Experience designing evaluation frameworks for LLM or agentic systems, • Strong proficiency in Python and PyTorch We'd Prefer If You Had, • Background in Electrical or Computer Engineering, • Familiarity with chip design and verification workflows, • Experience with EDA tools (Synopsys, Cadence, Questa, etc.), • Publications at NeurIPS, ICLR, ICML, DAC, ICCAD, or DVCon What We Offer, • Competitive salary and equity package, • Comprehensive benefits including health, vision, dental, housing stipend, and 401(k) with match, • High-ownership, high-velocity environment with rapid learning opportunities, • A technical problem that is the present rate limiter on the future The pay range for this role is: 150,000 - 250,000 USD per year (Bronco HQ)

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 The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000-$850,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. 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 about our policy for using AI in our application process

Staff+ Software Engineer, Backend San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential: • API Core: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack., • API Capabilities: You'll bring frontier model capabilities to developers through the Claude API, owning core features like vision, tool use, and computer use. You'll launch new models and ship the primitives that make Claude more capable with every release. You'll partner directly with research and inference to productionize what's next., • API Knowledge: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers., • Developer Experience: You'll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You'll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers., • API Agents: You'll focus on building the infrastructure and APIs that enable developers to create powerful agentic applications within the Claude API. You'll help developers with agent orchestration through capabilities like tool use, multi-step reasoning, and long-running task execution that allow Claude to take actions and accomplish complex goals on behalf of users. You'll partner with research to bring cutting-edge agent capabilities to production., • Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. Passport: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale., • Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent, • Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution, • Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products, • Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems, • Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use Care deeply about investing in the mentorship and growth of your peers, • Have experience with distributed systems, API design, and cloud infrastructure at scale Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365-all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world's top investors-including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock-and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses. About the IT Product Team The IT Product Engineering team is critical to unifying Rippling's workforce management system, bridging the gap between HR and traditional IT administration. Our mission is to build software that enables businesses to manage employee devices, applications, and access security automatically, leveraging Rippling's single source of employee truth (the HRIS). We automate the complexity of IT management from the moment a new employee is hired to the moment they offboard. What We Build We build the mission-critical software that simplifies IT for organizations, turning complex, manual processes into simple, one-click solutions. Our core product domains include: • Device Management (MDM): Developing systems to securely enroll, configure, manage, and inventory corporate devices (macOS, Windows, iOS, etc.), including policy enforcement and remote wipe capabilities., • App Management & Identity: Creating the centralized platform for provisioning and de-provisioning employee access to hundreds of third-party SaaS applications, ensuring instant security and compliance through integrated identity and access management (IAM)., • Inventory & Asset Management: Building the core financial and logistical systems to track physical assets, manage software licenses, and automate IT procurement from device ordering to deployment., • Security & Compliance: Developing the mechanisms for setting, managing, and enforcing security policies across all devices and applications, ensuring employee and corporate data remain protected. What you will do, • Design, implement, and test reliable backend services and APIs that power core product features and business logic at scale., • Work across key technical domains, including API design, data modeling, event modeling, and optimizing service performance., • Own the development lifecycle for defined features, from implementation and testing to deployment, monitoring, and support in a production environment., • Effectively integrate into cross-functional teams, contribute to technical discovery, and rapidly learn from code and system feedback. What you will need, • 2+ years of professional experience as a backend engineer, preferably with Python, Go, or a similar production language, and strong experience with relational databases (e.g., PostgreSQL)., • Care about business impact, balancing technical craft with speed and the bottom line to deliver value quickly., • Ability to thrive in fast-paced, dynamic environments, demonstrating resilience and agility in the face of changing product needs. Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below. The pay range for this role is: 135,000 - 236,250 USD per year (US Tier 1)

Magical is redefining how work gets done. Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care. The shift to agentic work is inevitable, and we're leading it. We've scaled from $0 -> $XM ARR in a few months with our agentic product, and we're looking for engineers to help us reach $XXM ARR. As a founding engineer, you won't just be writing code, you'll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what's possible with AI. We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open. About the role • Push the frontier of how agents interact with the browser, improving speed, reliability, and coverage across real-world apps, • Build and evolve how multiple agents collaborate to solve complex workflows, • Design and scale the systems that make Magical run seamlessly on desktop, unlocking enterprise-grade stability and performance, • Build rigorous verification systems that guarantee our agents are doing the right thing every time About you, • Have some experience in TypeScript and React, • Have been coding outside of work for 5+ years, through side projects, open source, and more recently, AI, • Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tell, • Have a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input., • Value taking ownership and responsibility for your projects and systems., • Studied Computer Science (or related field), or dropped out to build stuff, • Located in SF/Toronto or willing to relocate What we offer, • A chance to be an early team member at a fast-growing, ambitious company, • The opportunity to push the boundaries of what's possible with AI, • A modern stack and the latest tools to do your best work, • Competitive salary and meaningful equity, • Unlimited PTO, • Fun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica Tech stack Familiarity with our tech stack is not required • TypeScript, • Frontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and Vite, • Backend: Node, AI SDK, Hono, Drizzle, Postgres (neon), and Railway

Weekly Hours: 40 Role Number: 200639881-3401 Summary The Headphone and Accessories Team at Apple is seeking a highly motivated Software Engineer to develop innovative technologies and deliver amazing end user experiences. Candidate is expected to be proficient in software development, experience with Objective C and Swift programming. We value individuals who are driven to innovate and possess a strong desire to learn new skills. Description As part of the Connected Audio team, you will develop breakthrough technologies that power the next generation of AirPods and Apple accessories—products that have redefined personal audio worldwide. The development will include working across Wireless Connectivity, ML, System Engineering, and other areas, to create seamless, end-to-end features spanning iOS, macOS, and tvOS. Minimum Qualifications * BS with 5+ years of industry experience * Strong programming skills and proficiency in Object C / Swift * Experience in software development * Good understanding of Operating Systems concepts Preferred Qualifications * MS in Computer Science / related field with 3+ years of experience is preferred * Experience with Embedded Software development * Experience with building system modules interfacing with AIML * Experience with Multimodal Machine Learning * Strong team player with the ability to work collaboratively and effectively with others * Experience leading projects, and managing execution * Good communication, presentation and interpersonal skills

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Employee Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role Salesforce is building the AI-powered future of enterprise software - and we need a world-class recruiter to help us win the most competitive talent market in the industry. This isn't a high-volume, transactional recruiting role. This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas; Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next generation of innovators and builders. You've recruited at scale for applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You've navigated nuanced leveling conversations, complex compensation structures, and competing offers from the best companies in the world - and you've won. Now, bring that expertise to Salesforce, where Agentforce and Einstein AI are redefining what enterprise AI looks like. Your pipeline and your craft will directly shape the teams building the most impactful AI products in the world. What You'll Do • Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce's AI and research organizations, • Partner deeply with senior engineering and research leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent, • Build and maintain high-quality, research-grade talent pipelines - proactively mapping the market and engaging passive talent before requisitions open, • Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of competitive compensation benchmarks across FAANG and frontier AI companies, • Serve as a trusted advisor to hiring managers - pushing back, advising on tradeoffs, and bringing market intelligence that sharpens decision-making, • Collaborate with sourcing partners, recruiting coordinators, and peer advisors to run an efficient, high-touch candidate experience, • Contribute to team-level recruiting strategy, pipeline health reviews, and competitive talent intelligence initiatives What We're Looking For, • 5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles, • Deep experience at a top-tier tech company - Meta, Google, or equivalent - where the talent bar is exceptionally high and the competition is fierce, • Proven ability to recruit across the full Applied Science and ML talent spectrum: ML Engineers, Data Scientists, Applied Scientists, and MLOps Engineers, • Strong fluency in ML and AI concepts - enough to hold credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines, • Track record of building proactive talent pipelines in highly competitive, hard-to-fill research and applied ML talent pools, • Experience navigating complex compensation conversations, including base, equity (RSU), sign-on, and competing offer dynamics in the FAANG+ talent market, • Consultative, data-informed approach to recruiting - you bring market data, competitive intelligence, and candidate insights to every hiring manager interaction, • Strong communicator and relationship builder who earns trust quickly with both candidates and senior technical leaders Nice to Have, • Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (e.g., FAIR, Google Brain/DeepMind, OpenAI), • Familiarity with AI/ML academic pipelines from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.), • Background working within large, matrixed organizations where recruiting requires influencing without authority Why Salesforce, • Agentforce & Einstein AI - You'll be recruiting for the teams building the AI products deployed by the world's largest enterprises, at a scale and data advantage no startup can match, • Real Impact - This is not a support role. You will shape hiring strategy and directly influence how Salesforce's AI org is built, • Competitive Compensation - We understand the market. We offer competitive base salaries, equity (RSU), and we actively seek sign-on and equity exceptions to close the talent we need, • World-Class Colleagues - Work alongside a high-performing recruiting team with deep expertise across the AI/ML talent landscape When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $94,000 - $142,300 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $112,900 - $155,200 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Product Manager, Voice Agent Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Product Management team owns Decagon's platform and foundational features: agent building, eval, analytics, testing, experimentation, versioning, integrations, and enterprise controls. We work across every customer segment, partnering closely with engineering, design, and go-to-market to ensure our platform is robust, scalable, and easy to use. As one of our founding PMs, you'll help define the product foundation that every Decagon customer uses to build and run their AI agents. You'll own initiatives end-to-end, from discovery and scoping to launch and adoption, shaping the product experience for some of the world's most influential businesses. About the Role Voice is the most natural way for people to communicate. Speaking is faster than typing, it conveys more emotion and context, and it fits seamlessly into everyday life. For businesses, voice is a crucial channel in their broader omni-channel customer experience strategy. In this role, you will be the product owner for Decagon's AI-powered voice agent. Your mission will be to deliver human-level voice performance across a variety of use cases, from cost-effective frontline support to proactive outreach for onboarding, retention, and promotion. In This Role, You Will • Define the vision, strategy, and roadmap for Decagon's voice agent, • Work closely with customers to deeply understand their problems and requirements, • Have 6+ years of relevant experience (e.g., product manager, founder, engineer, researcher etc.), • Experience building voice agents, e.g., LLMs, speech-to-text models, text-to-speech models, speech-to-speech models, background noise separation, call center integrations., • Strong technical acumen — comfortable discussing APIs, AI models, and architecture with engineers, • Experience building voice conversational AI using latest LLMs and TTS technologies, • Strong communication and relationship-building skills, • A Computer Science, Engineering, or Math degree or equivalent technical experience, • Experience working at a startup or high-growth company $232K – $290K + Offers Equity Benefits We proudly offer the following benefits for our full-time employees: • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave), • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Retirement Plan (e.g., 401K, pension), • Parental Leave, • Fertility and family building benefits through Carrot

Job description: About the Role This position offers the chance to directly influence the evolution of customer experience through the development of high-impact AI agents. These agents are designed to operate autonomously across multiple industries, from finance to healthcare to travel, delivering reliable support and intelligent action in place of traditional customer service teams. You will be joining a group of engineers who focus on delivering real functionality. You will help build systems that not only respond but anticipate, interpret, and resolve complex customer needs. These AI agents handle real transactions and high-sensitivity tasks, from resetting passwords and updating personal details to navigating nuanced account issues or completing bookings. This role emphasizes full-cycle ownership. You will take ideas from concept through design and into production. Engineers here work directly with customer-facing teams to gather context, identify pain points, and rapidly prototype improvements that make measurable differences. You will collaborate closely with other engineers, product managers, and operations teams to create agents that are resilient, clear in their logic, and deeply integrated with real-world workflows. What Youll Do Design and build AI-driven agents that can outperform human representatives in efficiency, accuracy, and user satisfaction across both voice and chat platforms Translate natural language instructions into structured workflows using a unique agent logic framework that blends linguistic flexibility with software-grade precision Analyze performance data to uncover trends and identify opportunities for large-scale improvements to both platform capabilities and agent behaviors Experiment with the latest advancements in voice and language models, integrating and tuning them for enterprise reliability, responsiveness, and language coverage Use real-time observability tools to trace every decision made by an agent, ensuring systems can be audited, understood, and rapidly improved without guesswork Qualifications: What You Bring At least five years of experience as a professional software engineer, working on production systems with real users A high level of fluency in Python and TypeScript, including comfort with asynchronous operations, error handling, and performance tuning Strong troubleshooting skills with the ability to dig into complex tech stacks and resolve problems using the best tool for the job, whether thats a profiler, a log aggregator, or raw data inspection A proactive mindset and a deep curiosity about how AI agents think, how they fail, and how to make them more intelligent and dependable *open on programming language experience. Looking for people who have a computer science degree from a strong school. *willing to teach everything someone needs to know about AI. Additional Experience That Helps Exposure to multimodal AI systems or voice interface development Familiarity with enterprise-scale customer experience platforms or conversational automation frameworks Interest in designing tools that make agent behavior transparent, especially through visualization, testing, and simulation infrastructure Why is This a Great Opportunity: This is a role where engineering work has immediate, measurable impact. The systems you build will not only automate routine customer service tasks, they will help redefine how people interact with brands. You will be part of a team that believes great AI should be observable, transparent, and easy to iterate on. Every part of the stack is built for rapid development, detailed debugging, and meaningful improvement. The platform architecture encourages experimentation and feedback-driven development. Agent behavior is defined using modular logic blocks that are visible, testable, and versioned. Engineers are empowered to propose and ship changes quickly. No need to wrangle a monolithic prompt or chase down unclear bugs. With tools like Trace View, you will know exactly how an agent made a decision, what data it used, and how long each part of the workflow took. You will also be joining at a time of rapid momentum. This team has helped companies dramatically lower support costs, improve satisfaction scores, and handle more customer requests without adding headcount. There is strong market demand, solid product adoption, and a clear path for continued innovation. For engineers who care about user experience, robust systems, and responsible AI design, this is an opportunity to build tools that are deeply technical and profoundly human. Perks and Benefits Competitive salary with equity options for long-term ownership Comprehensive health benefits including medical, dental, and vision coverage Flexible paid time off with a take-what-you-need approach Daily lunch and snacks provided at the office A highly collaborative, engineer-led culture focused on iteration, learning, and technical excellence Whats Ahead This is not an opportunity to maintain legacy software or optimize for clicks. It is a chance to help define the interface between people and technology in a world where AI is increasingly the first point of contact. You will be building for production, at scale, in collaboration with enterprise teams that rely on these systems every day. If you care about systems that are observable, understandable, and make a real difference for millions of users, this role will give you the platform and resources to do exactly that. Nigel Apply for this position

Software Engineer Locations: San Francisco, CA (hybrid) About the Role The Geneva Web Team is part of the Geneva Product Development. The team is responsible for modernizing the Geneva UI tier, API tier, and middleware. The Geneva Web Team is diverse and collaborative, bringing together a range of expertise to drive innovation. We prioritize simplicity in engineering design, ensuring efficient and scalable solutions. Known for being easy to work with, we foster open communication and teamwork. Above all, we take responsibility in delivering high-quality, modern solutions. Why Join SS&C SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence. You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments. How You Will Make an Impact • Participate in the full development life cycle., • Engage in sprint planning., • Collaborate with business analysts to define and analyze requirements., • Work with architects and lead engineers to define architecture., • Implement key modules according to development guidelines., • Participate in the full development life cycle., • Engage in sprint planning., • Collaborate with business analysts to define and analyze requirements., • Work with architects and lead engineers to define architecture., • Implement key modules according to development guidelines., • .NET Development experience using C#., • Familiarity with messaging systems., • Good understanding of containers and container orchestration., • Experience working in Agile/Scrum environments., • Knowledge of latest software industry trends and technologies. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Machine Learning, Platform Engineer San Francisco About the Role Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. We often focus on video or audio generation across the stack: CUDA kernels, pytorch optimization, inference engines, container orchestration, queueing theory, etc. An ideal candidate will be great at profiling/optimization but know the word kubernetes, or be intimately familiar with multi-cluster scheduling and have some sense of ML bottlenecks. Responsibilities • New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools., • Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure, • Partner with product teams to understand functional requirements and deliver solutions that meet business needs, • Write clear, well-tested, and maintainable software and IaC for both new and existing systems, • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems., • Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or running a cloud provider is a very big plus, • Good taste and ability to thoughtfully discuss how what you've built has failed over time, • Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources, • Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale, • Expert-level programmer in one or more of Python, Golang, Rust, C++, or Haskell, • Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, • Experience with Kubernetes internals or other container orchestration systems, • Sound judgement for when to use and when to not use LLMs for code, • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We're looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you'll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: * Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems * Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. * Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows * Own the full development lifecycle of new backend systems and internal platform capabilities * Build with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have: * 4+ years of backend engineering experience at product-driven companies (excluding internships) * Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres * Experience designing and scaling distributed systems, APIs, or data processing pipelines * A pragmatic mindset. You're comfortable shipping iteratively while building toward a long-term vision * An interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must) 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. Compensation Range: $230K - $385K

About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals. About the Role As a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI's financial systems. You'll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We're looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI's long-term mission and sustainability. 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. In this role, you will: * Architect, implement and scale core payment infrastructure. * Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth. * Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems. * Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments. * Create a seamless user experience for checkout around the world. * Improve the reliability, observability and auditability of money movement at OpenAI. You might thrive in this role if you: * Have 5+ years of professional experience in software engineering, ideally with a focus on payments or financial systems at scale. * Are familiar with payment processors (e.g., Stripe, Adyen, Braintree) or have built similar internal financial systems, e.g. storing cardholder data, pricing, online commerce, etc. * Bring a strong product mindset and a desire to deeply understand product needs and design for long-term flexibility. * Thrive in high-growth, ambiguous environments, and can balance fast execution with technical rigor and system reliability. * Excellent communication skills, with ability to build consensus among stakeholders both internally and externally. 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. Compensation Range: $255K - $440K

About Atomic Semi Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the Team The Fab Software team builds the product that runs our entire fab-a central web app used to manufacture chips. Our users are internal process engineers. We build tools for managing hardware, monitoring and controlling systems in real time, designing processes, and analyzing experimental data. The work on this team spans frontend, backend, and data, all focused on making the fab programmable, observable, and easy to operate as we push toward a fully software-defined chip manufacturing process driven by AI and ML orchestration. About the role We are looking for a Senior Backend Software Engineer to build the core systems that power our fab product. You will focus on backend architecture, data models, and bridging the gap between our central web applications and physical manufacturing hardware. You will know you are successful when process engineers can seamlessly and reliably control, monitor, and orchestrate fab hardware in real-time through the systems you've architected. Responsibilities • Lead the architecture and development of high-performance backend APIs (Go, Rust, gRPC) that power our central fab product., • Break down complex manufacturing challenges into actionable data models (recipes, runs, tools, wafers, jobs) and technical plans for yourself and the broader team., • Integrate web applications with underlying hardware and embedded systems, ensuring seamless, real-time operations., • Ensure the reliability, observability, and performance of mission-critical manufacturing systems, holding yourself and the team accountable to clear timelines., • Drive the long-term system architecture, challenging existing assumptions to support our evolving fab processes and yield optimization goals. Required Experience, • Demonstrated command of best practices in backend systems engineering, specifically with Go, Rust, or gRPC., • Experience leading and delivering highly complex, business-critical production systems from end to end., • Deep understanding of systems fundamentals: concurrency, networking, and databases., • Proven ability to own systems under real-world constraints, including failure recovery, troubleshooting, and on-call support., • A track record of earning trust, providing clarity to your team, and leading by example through consistent follow-through. Nice-to-haves, • Experience working with hardware or embedded systems., • Deep database knowledge (Postgres internals, migrations, performance tuning)., • Interest in networking, security, or distributed systems., • Experience running a homelab or building infrastructure for fun. Working at Atomic Semi We're an early-stage hardware startup with solid funding, world-class advisors, and a lab/office. Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $125,000 - $195,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements: • Medical, Dental, and Vision insurance, • Generous Paid Time Off inclusive of Holidays and Sick Time, • Visa Sponsorship, • Life and Disability Insurance, • Paid Parental Leave, • 401(k) retirement plan, • Weekly Learning & Development opportunities, • Commuter Benefits including Parking and Late Night Uber rides from the office Export Control Analysis: This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls.

Software Engineer - Compiler San Francisco, CA About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team plays a foundational role in this mission by transforming user-driven spreadsheet interactions into highly optimized SQL queries, enabling seamless exploratory analytics on cloud data warehouses. As a member of the Compiler Team, you will join a group of engineers dedicated to building the core systems and abstractions that power Sigma's intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users. What You Will Be Doing • Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics—making it possible for end-users to query data warehouses efficiently without deep technical knowledge, • Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans, • Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures, • Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions that enable end-to-end workflow optimizations and new features, • Debug, analyze, and resolve complex issues, ensuring robustness and maintainability in a rapidly evolving product, • 5+ years experience engineering high-quality software systems, • Demonstrated success building and maintaining complex infrastructure or core platform services, • Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization, • Passion for teamwork, technical ownership, and continually raising the engineering bar, • Exposure to distributed systems, query optimization, or database internals, • Experience with API or data model design in the context of high-performance cloud services, • Familiarity with cloud infrastructure (e.g., GCP, AWS, Azure) The base salary range for this position is $170k - $235k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About Us Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth. Come join us! Benefits For Our Full-Time Employees • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma's use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. The Principal Analytics & ML Engineer plays a critical role in delivering trusted, scalable analytics and ML solutions to stakeholders across the company, particularly in the Product & Engineering areas. Working closely with architects and data engineers, you'll help shape data models and pipelines and build ML / AI frameworks that serve as the foundation for high-impact dashboards and predictive and prescriptive analytics. You'll design user-centric tools that empower teams to explore data, gain insights, and make better decisions - powered by platforms like BigQuery, AI, ML, and Tableau. You will: * Architect and manage the modern DS/ML/AI stack for scalable, reproducible data science and ML models. * Build reusable agentic frameworks/pipelines, and lead the development and certification of internal agents to automate analytical workflows. * Develop complex analytical/ML models, provide "so-what" deep dive analyses, and present findings to leadership for high-impact use cases. * Collaborate with data engineering to design/build scalable data models, metrics, dashboards, and analytical products for actionable insights (Product/Engineering stakeholders). * Embed MLOps best practices by implementing monitoring for model drift, version control, and automated retraining pipelines. * Mentor and lead cross-functional efforts to evangelize analytical and ML/AI best practices both within and outside the organization. * Create frameworks/tools for functional analysts to leverage predictive insights without needing data science expertise. * Optimize, refactor, validate, and document business logic, metrics, and data products to ensure proper governance of quality, accuracy, and scalability. * Act as a liaison between business and technical teams to align solutions with strategic goals. * Lead complex cross-functional analytics projects. About you: * MS or PhD in Computer Science, Statistics, Mathematics, or a related field. * 10+ years of experience in Data Science, Machine Learning, with a track record of building and scaling, and deploying production-grade ML pipelines. * Expert-level proficiency in Python and SQL; must be comfortable navigating massive datasets in cloud environments (e.g., BigQuery) and possess hands-on experience building both ML models and sophisticated AI agents. * Demonstrated ability to architect and manage a modern DS/ML/AI stack from the ground up. * Deep understanding of Product Analytics metrics and concepts, ideally within a SaaS or Platform environment. * Exceptional business acumen with the ability to translate vague product questions into concrete technical concepts and roadmap, and articulate business impact to non-technical executive stakeholders. * Advanced experience partnering with data engineers and working with dbt or similar data modeling frameworks. * Robust experience implementing MLOps best practices to ensure model reliability and scalability. * A history of leveling up mid-to-senior engineers and driving engineering excellence across the organization. The approximate annual base compensation range is $156,500 to $227,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team. Benefits: * People: Work with talented, collaborative, and friendly people who love what they do. * Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues. * Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave. * Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more. * Savings: Our 401K matching plan-1:1 match up to 6% of salary-helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers) * RampRemote: A comprehensive office equipment and ergonomics program-we provide you with equipment and tools to be your most productive self, no matter where you're located More about us: LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here () to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance. We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates. California residents : Please see our California Personnel Privacy Policy () for more information regarding how we collect, use, and disclose the personal information you provide during the job application process. To all recruitment agencies : LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes. We are proud to be an equal employment opportunity and affirmative action employer. We believe in diversity and do not discriminate based on race, color, religion, sex, age, national origin, veteran status, sexual orientation, gender identity, disability, or any other basis of discrimination prohibited by law.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Data Engineering Overview: Mastercard Services Technology team is seeking a Vice President of Data Engineering to lead the transformation of our enterprise data ecosystem and unlock the full value of Mastercard’s data assets. This role will drive innovation in how we manage, store, govern, and access large-scale data across both public cloud and on-premise environments, while establishing consistent engineering standards and principles across the Big Data landscape. This is a high-impact leadership role responsible for defining and delivering modern, scalable, and secure data and AI platforms across AWS and Azure. The scope includes platform strategy, enterprise governance, engineering excellence, and the establishment of best practices across global data and platform teams. This is a hands-on technical leadership role, with deep involvement in data engineering and architecture design and implementation. At the initial stage, this role will not have direct reports; however, as the platform and team evolve, it is expected to build and lead a team of approximately 5–10 engineers and platform specialists. We are looking for a leader who thrives in fast-paced environments, balances strategic vision with hands-on execution, and delivers measurable business impact through technology. Role: • Define and lead the architecture of end-to-end cloud-native data platforms, including lakehouse architectures built on S3, Azure Data Lake, Databricks, and related technologies., • Provide technical leadership across data engineering, platform engineering, and DevOps organizations, guiding engineering leaders and cross-functional teams, • Act as a hands-on architect and engineer, contributing directly to the design, development, and implementation of core data platform components., • Lead DevOps transformation initiatives, including CI/CD pipelines, infrastructure-as-code, and fully automated multi-cloud deployment models., • Establish and enforce enterprise cloud security standards, including IAM, encryption, network security, and regulatory compliance (e.g., GDPR, HIPAA), • Design and implement enterprise-grade data governance frameworks, including data cataloging, lineage, classification, and access control using tools such as AWS Lake Formation and Azure Purview., • Architect and deliver scalable batch and streaming data pipelines supporting large-scale ETL/ELT workloads across data lakes and data warehouses., • Implement and operationalize Lakehouse architectures using the medallion model (Bronze, Silver, Gold) across AWS services (Glue, Lake Formation, EMR, Athena) and Databricks., • Translate complex business requirements into scalable, secure, and high-performance technical solutions in close partnership with product and engineering stakeholders., • Drive operational excellence by improving performance, scalability, reliability, and cost efficiency of data platforms., • Define and institutionalize architecture standards, engineering best practices, and operational frameworks across teams., • Mentor engineers and future team members while building and scaling a high-performing team of 5–10 data engineers and platform engineers as the organization grows. All About You: • Proven experience as a Director or Vice President of Data Engineering, Data Architecture, or similar senior technical leadership roles., • Strong hands-on experience in data engineering and architecture, with the ability to design and implement solutions directly when needed., • Experience leading or scaling globally distributed engineering teams across multiple geographies., • Deep expertise in AWS and Azure services, including S3, EC2, Lambda, Glue, Flink, Lake Formation, Azure Data Factory, Azure Fabric, Synapse, and Databricks., • Strong experience building DevOps pipelines and infrastructure-as-code using Terraform, CloudFormation, ARM templates, Azure DevOps, or GitLab CI/CD., • Strong understanding of cloud security architecture, including IAM design, encryption strategies, and governance frameworks., • Experience with containerization and orchestration technologies such as Docker, Kubernetes, ECS, or AKS., • Strong background in data engineering frameworks such as Spark, PySpark, and large-scale distributed ETL systems., • Proven success delivering production-grade Lakehouse architectures using the medallion model., • Strong leadership skills with demonstrated ability to influence senior stakeholders and drive cross-functional alignment., • Experience with data governance platforms such as AWS Lake Formation or Azure Purview., • Familiarity with observability and monitoring tools (CloudWatch, Azure Monitor, ELK, etc.), • Experience with cloud cost optimization and financial accountability for large-scale platforms., • Exposure to MLOps practices and integration of machine learning pipelines into data platforms., • Strong experience working in Agile/Scrum environments., • Strong executive communication and stakeholder management skills, with demonstrated experience engaging and influencing senior leadership and executive audiences, and the ability to convey complex ideas clearly to diverse audiences., • Bachelor’s degree in a quantitative field such as Engineering, Mathematics, Computer Science, or related discipline, or equivalent practical experience. This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges San Francisco, California: $254,000 - $407,000 USD

About Atomic Semi Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the Team The Fab Software team builds the product that runs our entire fab-a central web app used to manufacture chips. Our users are internal process engineers. We build tools for managing hardware, monitoring and controlling systems in real time, designing processes, and analyzing experimental data. The work on this team spans frontend, backend, and data, all focused on making the fab programmable, observable, and easy to operate as we push toward a fully software-defined chip manufacturing process driven by AI and ML orchestration. About the role We are looking for a Fullstack Software Engineer with an eye for design to build the product that runs our entire fab. You will work on a central web app that serves as the nervous system of our operation, connecting our software, hardware, robotics, and humans. Over the next year, you will focus on user-facing features that allow our process engineers to interact directly with hardware, workflows, and data. You will build beautiful, highly functional displays so they can easily analyze, run, and control their physical experiments. In parallel, you will help integrate these internal process control tools with our external-facing design studio. This role gives you a broad, high-level view of the entire company, connecting the software you write directly to the physical robotics we rely on to build chips. Responsibilities • Build and ship core product features for our central web app, directly impacting how our manufacturing operation runs on a daily basis., • Develop highly responsive, intuitive UIs that allow process engineers to seamlessly monitor and control physical hardware in real time., • Design and build dedicated internal tools that streamline process design, orchestrate workflows, and manage complex physical experiments., • Own major features end-to-end across the stack, taking full accountability from the backend architecture all the way to the frontend user experience., • Iterate rapidly by working directly alongside our internal users-process engineers and hardware teams-to translate their feedback into powerful, reliable software. Required Experience, • Strong demonstrated experience building and shipping real-world applications autonomously., • Proficient in TypeScript, React, and Go, with a strong command of software fundamentals., • Comfortable working end-to-end across the stack (frontend and backend) to take broad ownership of major features., • Demonstrated ability to build clean, fast, and intuitive interfaces, seamlessly translating complex manufacturing challenges into highly usable frontends., • Strong product sense and design taste, with a track record of earning trust through the consistent delivery of reliable software. Nice-to-haves, • Experience building software tailored for highly technical users, such as engineers, scientists, or data teams., • Hands-on experience with complex data visualization or real-time, interactive user interfaces., • Familiarity with Rust or WebAssembly (or a strong curiosity to jump in and learn them)., • An exceptional eye for UI/UX design, with the taste to make dense, complex manufacturing workflows feel effortless to use. Working at Atomic Semi We're an early-stage hardware startup with solid funding, world-class advisors, and a lab/office. Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $125,000 - $195,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements: • Medical, Dental, and Vision insurance, • Generous Paid Time Off inclusive of Holidays and Sick Time, • Visa Sponsorship, • Life and Disability Insurance, • Paid Parental Leave, • 401(k) retirement plan, • Weekly Learning & Development opportunities, • Commuter Benefits including Parking and Late Night Uber rides from the office, • Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Export Control Analysis: This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls.

Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us. Machine Learning Engineer: Perception Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We are looking for engineers with expertise in shipping production 3D perception systems at scale. Successful candidates have architected systems, trained models from scratch, understand the full stack (clustering, detection, classification, and tracking), and have shipped at scale. We use both computer vision and LIDAR-based approaches, so knowledge of either or both is key. Models are just part of the system: you understand data and have good intuition about why models fail. You know how to evaluate corner cases, manage or build data pipelines, use autolabels (or not), and have a strong understanding of statistical properties of these systems. What You'll Do: • Design Early Fusion Architectures: Develop and train state-of-the-art models (e.g., BEV-based transformers) that fuse raw Lidar and Camera data to solve for object detection and semantic segmentation., • Tackle "Messy" Physics: Build perception systems robust enough to handle dynamic occlusion (seeing the robot's own arm/bucket), particulates (dust, snow, rain), and high-vibration conditions., • Deploy to the Edge: Optimize models for inference on embedded hardware. You will debug system-level issues, such as sensor calibration drift and latency bottlenecks., • Collaborating with other teams to create state-of-the-art representations for downstream use cases. What we're looking for:, • Production ML Experience: 3+ years of experience taking deep learning models from research to real-world production using PyTorch, Tensorflow, or JAX., • 3D Geometry & Calibration: You have a deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration. You understand the math required to project a 3D Lidar point onto a 2D image pixel accurately., • Early Fusion Expertise: Practical experience with architectures that fuse modalities at the feature level (e.g., BEVFusion, TransFuser, PointPainting) rather than just fusing final bounding boxes., • SOTA Object Detection experience with modern transformer-based architectures (DETR, PETR, etc...) including similar temporal models (PETRv2, StreamPETR, ...), • Systems Fluency: You are an expert in Python, but you are also comfortable reading and writing systems code in C++ or Rust. You understand memory management and real-time constraints., • Data Intuition: You understand that in robotics, better data alignment often beats a bigger model. You are willing to dig into the data infrastructure to ensure ground truth quality. Ways to stand out:, • Bonus: Voxel/Occupancy Experience: Experience working with occupancy grids, NeRFs, or voxel-based representations for terrain mapping.

Software Engineer, Fullstack Treehouse is on a mission to accelerate the decarbonization of the places we live and work. We've built the go-to operating system for home electrification – partnering with brands like Toyota, General Motors, Rivian, and ChargePoint to deliver seamless, end-to-end EV charger and battery backup installations for their customers. We handle everything from scoping to permitting to installation, powered by proprietary technology that enables us to scope and design projects virtually at scale. We've completed thousands of installations across the country, built a growing roster of national partners, and are backed by strategic investors including CarMax, Holman, and Eaton. We're a small, scrappy team working on a problem that actually matters. About the Role The ideal Software Engineer, Fullstack candidate will be at the forefront of delighting customers to advance the electrification movement. Their technical skills, grounded in a deep understanding of JavaScript, will be enhanced by a passion for performance, user empathy, an appreciation for intuitive semantic UX, and creative approaches to building solutions that solve customers' needs. Responsibilities The Software Engineer, Fullstack will: • Design and build performant, beautiful, and usable interfaces, • Foster a culture of upholding industry-leading UX, • Collaborate with cross-functional teams to solve customer needs, • Continuously improve our engineering processes, tools, and systems that allow us to scale the code base, productivity, and team Successful Software Engineer, Fullstack candidates will demonstrate: • Bachelor's degree in Computer Science or a related technical field; in lieu of degree, equivalent practical experience, • 2+ years of frontend engineering experience, • 2+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++, Go) Additionally, successful Software Engineer, Fullstack candidates may demonstrate: • Performance motivated by delivering customer value, • Passion for user experience and design, and current trends and best practices in front-end architecture, including performance, accessibility, security, and usability, • Experience leading large multi-quarter efforts demonstrating tangible customer or business impact, • Experience with cloud technologies (e.g. AWS, Azure, GCP, Docker, or Kubernetes) Featured benefits include: • Medical insurance, • Vision insurance, • Dental insurance, • 401(k), • Unlimited paid time off

Summary: Business Engineering is looking for impact-driven, entrepreneurial solutions architects ready to drive projects from ideation to implementation and beyond. We are AI and technology experts that apply our technical skills to bring a unique blend of business and technology expertise to ensure our partners succeed. Our team is at the intersection of business and AI innovation where you will operate similarly to a Forward-Deployed Solutions Architect by solving real-world business challenges with game-changing AI technology that impacts businesses and consumers across the world.You will deliver specialized, customer-embedded technical expertise, bridging the gap between sales and engineering. You will work alongside leading industry executives to turn complex customer needs into scalable, AI-powered products that accelerate business growth. This role lets you apply your passion for customers, engineering, and problem-solving to delivering real-world results at Meta scale. Our Business Engineering team is at the forefront of the AI frontier - and we're just getting started. Required Skills: Solutions Architect, Business AI Responsibilities: * Contribute to building next-gen AI products and prototypes in collaboration with Meta product engineering teams and cross functional partners to meet business needs * Understand business challenges to define and drive strategies to help businesses grow at scale * Use broad range of technical and soft skills to build productive relationships with our partners, and independently resolve complex technical and business needs * Work closely with sales teams to unlock and develop new opportunities by developing an understanding on business goals and industry trends * Influence the AI industry through technology by participating in industry conferences and presenting to executive-level audience * Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale * Break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals * Build relationships with team members and cross functional partners * Influence decision-making through presentation of data-centric business topics * Participate in interviewing and on-boarding of new team members Minimum Qualifications: Minimum Qualifications: * Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Experience with scalable software platforms applications and taking products from zero-to-one to a level of maturity * Experience with web, mobile, or enterprise technology stack * Experience communicating with technical and business audience at prospects or clients * Experience working with LLMs, agentic AI, and/or related AI/ML technologies * Experience working in highly collaborative, dynamic, and ambiguous environments * Experience demonstrating knowledge of industry technology areas and trends * 4+ years of experience working with software systems including querying, SQL scripting, and working with API development * 5+ years of combined experience as an Engineer, Solutions Architect, Technical Consultant, or Partner/Sales Engineer * Willingness to travel up to 25% of the time * Fluency in English, both verbal and written, is required Preferred Qualifications: Preferred Qualifications: * Experience working in a startup or similar early stage company * Knowledge of the AI, advertising, and social media landscape globally * Experience working with enterprise customers and B2B GTM motion * Experience with agile software development methodologies * Experience working with global teams * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) * Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Public Compensation: $130,000/year to $185,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

About the Role We are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads. In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integration, systems tooling, and operational monitoring. You will help connect partner and first-party compute environments into OpenAI's infrastructure stack, ensuring GPU capacity can be onboarded, measured, monitored, and optimized against real workload outcomes. Key Responsibilities * Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments. * Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments. * Build tooling to integrate external or partner infrastructure into OpenAI's internal compute, observability, and workload management systems. * Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput. * Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens. * Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity. * Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes. Qualifications * Strong software engineering background with experience building systems, tooling, automation, or infrastructure platforms. * Experience working across compute infrastructure, distributed systems, performance engineering, or production operations. * Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance. * Comfortable integrating external systems or partner environments into internal infrastructure stacks. * Strong analytical and debugging skills across hardware, networking, software, and operational domains. Preferred Skills * Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization. * Familiarity with model porting, inference/training workloads, token economics, or compute efficiency analysis. * Experience building monitoring systems for billing, usage, SLAs, utilization, or infrastructure reliability. * Background in systems engineering, infrastructure software, observability, distributed systems, or platform engineering. 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. Compensation Range: $293K - $455K

Sierra Job Opportunity At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What You'll Do • Write the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform., • Lead the creation and execution of developer training and enablement programs., • Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption., • Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development., • Passion for helping customers across small and large enterprises learn to build exceptional AI Agents., • Degree in Computer Science or related field, or equivalent professional experience., • 4+ years of experience in hands-on software development of highly technical products or developer relations roles., • Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions., • Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents., • Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs., • Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers., • Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems., • Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or Cursor, • Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work., • Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it., • Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve., • Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (unlimited) paid time off, • Medical, dental, and vision benefits for you and your family, • Life insurance and disability benefits, • Retirement plan dependent on country of employment, • Parental leave, • Fertility and family building benefits through Carrot, • Lunch, as well as delicious snacks and coffee to keep you energized, • Discretionary benefit stipend giving people the ability to spend where it matters most Be You, With Us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge's goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives. You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance. Location: This role requires 2-3 days a week in office in San Francisco, CA. Responsibilities: • Deliver software on time with accurate estimates, • Take ownership of production changes, including monitoring and maintaining runbooks, • Provide high-quality code reviews and help improve team engineering standards, • Design scalable and resilient trading platform architecture with a focus on performance, • Participate in design reviews and contribute to technical direction, • Serve as a technical expert for trading systems for internal teams and external partners, • Collaborate cross-functionally to translate business requirements into technical solutions, • Solve complex engineering challenges, particularly within code generation frameworks Qualifications:, • Bachelor's degree in Computer Science, Engineering, or equivalent experience, • 5-8 years of software engineering experience, • 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java), • 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby), • Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka), • Strong SQL skills and experience with PostgreSQL and/or MySQL, • Experience building CI/CD pipelines and managing production deployments, • Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA, • Experience in Private Markets or Financial Services, especially financial market data, • Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches. Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.

P-1284 About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks' Foundation Model API. You'll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack - from kernels and runtimes to orchestration and memory management. What You Will Do • Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference, • Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine, • Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators, • Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations, • Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads, • Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning, • Integrate with federated, distributed inference infrastructure - orchestrate across nodes, balance load, handle communication overhead, • Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams, • Document and share learnings, contributing to internal best practices and open-source efforts when possible What We Look For, • BS/MS/PhD in Computer Science, or a related field, • Strong software engineering background (3+ years or equivalent) in performance-critical systems, • Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc., • Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.), • Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning, • Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler), • Experience building instrumentation, tracing, and profiling tools for ML models, • Ability to work closely with ML researchers, translate novel model ideas into production systems, • Ownership mindset and eagerness to dive deep into complex system challenges, • Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $142,200-$204,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. Time spent at a fast-growing startup or on a high-ownership engineering team. By applying to this role, you will be considered for engineering roles across all teams at Perplexity.

Job DescriptionBusiness Wire, a Berkshire Hathaway company, is the global market leader in press release distribution and regulatory disclosure. We are on a mission to redefine how organizations connect with their audiences - and that’s just the beginning! Organizations, large and small, depend on us to accurately publicize market-moving news and multimedia, and generate social engagements that develop interactions with their target audiences. About the RoleA Service Desk Engineer supports Business Wire employees by troubleshooting, diagnosing, and resolving problems related to computer hardware, operating system, applications, networking, and peripherals. The individual will also take part in incident escalations and coordination across various technical teams. An ideal candidate possesses a broad mixture of experience; technical/functional knowledge, consultative, and a demonstrated track record of providing a high level of customer service. What You'll Do • Support the End User Technology environment across various applications and hardware (Windows & Mac)., • Respond to IT service requests from employees via chat, phone, email, or ticketing system promptly and professionally., • Administers Jamf and Microsoft Intune to manage macOS and Windows endpoints, ensuring devices remain compliant and properly configured throughout their lifecycle., • Deploys and maintains software packages and application versioning across managed endpoints including testing and validating updates prior to rollout., • Supports zero-touch provisioning workflows for Mac and Windows devices, enabled automated enrollment, configuration, and security policy enforcement upon first boot., • Supports endpoint and user lifecycle processes through automation scripting and implements workflow automations that improve response and resolutions times., • Administers OKTA to support user provisioning, MFA policies, group assignments, and application access management., • Configures and maintains SAML and OIDC SSO integrations to provide secure, seamless access to business applications., • Install, configure, and maintain IT equipment and software in alignment with company standards. Create and maintain technical/process documentation., • Provide technology training., • Document activities in ticketing system and maintain IT inventory and records., • Escalate complex or unresolved issues to senior IT staff or management., • Entitlement enrollment/disenrollment., • Additional duties as required.What You'll Need, • 4 years of IT Service Desk experience., • Demonstrate technical proficiency providing Microsoft and Mac desktop and network support., • Experience supporting common software products, such as Windows/Mac operating systems, Office365, Active Directory, VPN, Antivirus, and Okta., • Experience with using and supporting IT service management tools, like Jira, and knowledge of best practices (ITIL)., • Experience with endpoint device management solutions (JAMF, Intune)., • Ability to work independently and as part of a team., • Ability to troubleshot under pressure, handle multiple priorities, while providing exemplary customer service and professional demeanor., • Ability to learn new technologies and skills., • Basic scripting knowledge., • Certification such as CompTIA A+, CompTIA Net+, ITIL, and Microsoft 365 are a plus.What We Offer, • The base salary range for this position is $85K to $88K/year. Offered salary will be determined by several factors, including but not limited to: applicant’s education, experience, knowledge, skills and abilities, as well as internal equity and alignment with geographic market data. Business Wire reserves the right to modify this salary range at any time. Business Wire’s total rewards include:, • Ability to work remotely, • Excellent health benefits that begin on your first day of employment, • $100 monthly fitness allotment, a tuition reimbursement program, and enhanced mental health resources, • 401(k) plan with generous company match, and annual profit sharing contribution (subject to company performance), • PTO, Floating Holidays, Wellness Day Off, Birthday Day Off, and more!A pre-employment background check will be required after the acceptance of an offer. Business Wire is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Business Wire will also consider for employment qualified applicants with arrest and conviction records.

Job Description Job Summary The Senior Sales Engineer (m/f/d) plays a crucial role in driving the technical sales process, articulating the business value of Ververica's solutions to prospective clients while providing technical expertise and guidance. This role requires a unique combination of business acumen, technical knowledge, and exceptional communication skills to deliver value-based solutions to customers. Location Anywhere in the USA or Canada. The job boards force us to add locations. Key Responsibilities Solution Sales • Engage with prospective clients to understand their business challenges and technical requirements., • Develop and present tailored solutions that demonstrate the value of Ververica’s products and services., • Provide technical expertise and support throughout the sales cycle, including product demonstrations, technical deep dives, and proof of concepts (PoCs). Solution Design and Architecture • Design and architect solutions leveraging Ververica’s offerings to meet clients' needs., • Collaborate with the product and engineering teams to align customer requirements and product capabilities., • Develop and deliver technical proposals and solution architectures that address customer requirements and highlight the benefits of our solutions. Value Selling • Employ value selling techniques to articulate the business and technical benefits of Ververica solutions., • Build strong relationships with key stakeholders and decision-makers within prospective client organizations., • Work closely with the sales team to identify and address customer pain points and deliver compelling value propositions. Evangelism and Thought Leadership • Act as a thought leader and evangelist for Apache Flink and Ververica’s solutions in the market., • Present at industry conferences, webinars, and other events to promote real-time data processing benefits and use cases with Ververica solutions and Apache Flink., • Create and contribute to technical content such as whitepapers, blogs, and case studies that showcase successful implementations and best practices. Customer Engagement • Conduct technical workshops and training sessions for prospective clients to ensure they understand the capabilities and benefits of our solutions., • Gather and communicate customer feedback to the product management and engineering teams to inform product development and improvement., • Bachelors or Masters degree in Computer Science, Engineering, Business Administration, or a related field., • 10+ years of experience in solution architecture, pre-sales, or a similar technical role within the software, data, and/or analytics industry., • Extensive experience with streaming data technologies, particularly Apache Flink., • Strong technical expertise in big data, distributed systems, and real-time data processing., • Proven experience in value-based selling and the ability to translate technical solutions into business benefits., • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical audiences., • Demonstrated ability to design and architect enterprise-grade solutions., • Strong problem-solving skills and the ability to think strategically and creatively. At Ververica, you will be part of a dynamic and innovative team at the forefront of real-time data processing technology. We offer a creative and collaborative work environment where your ideas and contributions will shape the future of our brand and its presence in the industry. If you are passionate about streaming data and software sales and want to make a significant impact at a leading tech company, we'd love to hear from you.

Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occ

Astro Mechanica is seeking a Senior Flight Software Engineer to join our growing team. Bachelor’s degree in Computer Science, Engineering, Math, or a Science discipline and 4+ years of software development experience; or 6+ years of professional software development experience Experience in C++, R

A leading aquaculture technology company in San Francisco seeks a Machine Learning Engineer to develop and deploy machine learning models and algorithms for fish farming.

Job DescriptionAbout Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We're training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world's best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world's most legendary robotics company at the most pivotal moment in history, we want to work with you. We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). Let's be legendary. Why Join Nimble?At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.Nimble's Core Values:Be relentlessly resourceful - Challenge conventions and overcome obstacles.Be legendary - Be the very best and do work that inspires.Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission.Be dependable - Take ownership and deliver with high agency.The RoleNimble is looking for an AI Robotics Research Engineer to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world's biggest robotics opportunity.Responsibilities • Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more, • Develop data collection pipelines, • Design data annotation and labeling, • Support implementation of models into production systemsQualifications, • Masters or P.h.D in Robotics or Computer Science, • Experience training deep learning models for robotic manipulation or mobility, • Experience working with real robotic hardware, • Experience training models in simulation and developing simulation environments, • Experience collecting custom datasets, • Experience training on open-source datasets, • Strong track record of publishing papers and/or deploying real-world applications, • Experience with system architecture, design and developmentAdditional Requirements, • Must be able to work extended hours and weekends as needed, • Must be able to work in San Francisco$180,000 - $220,000 a yearThe above range is the salary range. This position will also receive generous equity for this position.Culture:We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.Nimble's BenefitsUnlimited Flexible Time OffEnjoy the time you need to travel, rejuvenate, and connect with friends and family.Health InsuranceNimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.Paid Parental LeaveEnjoy paid bonding time following a birth.Commuter BenefitsTake the stress out of commuting with access to fully-paid parking spots. Referral BonusGet a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401kContribute towards a 401k for retirement planning.EquityBe an owner in Nimble through our equity programLink: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance

Labcorp is seeking a Senior Software Engineer, Clinical CMS to join our Labcorp Genetics team. Bachelor’s Degree in Life Sciences, Computer Science or Engineering with 5 or more years of recent professional software development experience.

A pioneering biotechnology company in San Francisco seeks a Software Engineer to develop cloud-based systems and data pipelines.The role involves owning projects from requirements definition to scalable solutions.Candidates should have a degree in Computer Science and experience in Python, cloud inf

Job DescriptionCompany Description • Application Opening: May 8, 2026, • Application Deadline: May close at anytime but not before May 22, 2026, • Work Location: Employees work on-site, • Shift: Monday-Friday: 6:00 AM – 2:30 PM (Full-Time) Temporary-Exempt (TEX). This position is excluded by the Charter from the competitive civil service examination process and shall serve at the discretion of the Appointing Officer. The duration of the appointment shall not exceed 36 months. Who We Are Through the provision of coordinated, compassionate, and high-quality services, the Department of Homelessness and Supportive Housing (HSH) strives to make homelessness in San Francisco rare, brief, and one time. The Department provides assistance and support to homeless and at-risk youth, adults and families to prevent imminent episodes of homelessness and end homelessness for people in San Francisco. Services include outreach, homelessness prevention, emergency shelter, drop-in centers, transitional housing, supportive housing, short-term rental subsidies, and support services to help people exit homelessness. For more information about the department, please visit our website: What We Do San Francisco is a pioneer in homeless services and a leader in providing supportive housing as a permanent exit from homelessness. The Department of Homelessness and Supportive Housing (HSH), founded in 2016, is a national leader in the movement to end homelessness by developing a coordinated, equity-driven, client-focused system of compassionate services while piloting innovative models, and implementing best practice solutions with measurable results. HSH’s Homelessness Response System (HRS) funds, oversees and implements a system of care that shelters, houses, and serves approximately 15,000 people daily. Major programs include: street outreach and service connection through the Homeless Outreach Team (SFHOT); 3,600 +bed shelter system for transitional age youth, adults and families including shelters for members of the LGBTQ community; rapid rehousing rental subsidies for families, adults, older adults, and transitional aged youth; the Problem Solving and flexible financial assistance programs; and robust supportive housing programs with over 14,500 units which provide housing and services to formerly homeless transitional age youth, individuals, and families. Job Description Under general supervision, the 7524 Institution Utility Worker provides support to the 7334 Stationary Engineer and performs a variety of manual and general labor tasks in connection with general building and grounds maintenance, and performs other related duties as required. Working Conditions: Nature of work involves physical effort in the repair and maintenance of machinery and equipment; the ability to lift heavy objects; exposure to working conditions where minor abrasions, bruises, and burns may occur; occasional uncomfortable work inside closed and dirty spaces; exposure to potential uncomfortable weather conditions and traffic conditions; and requires physical stamina to stand, stoop, bend and climb ladders while working in confined spaces, entryways and tight crawl spaces. Essential Duties and Responsibilities include: • Performs general building maintenance under close supervision, • Performs grounds, maintenance, and minor repair work, • Unclogs toilets, kitchen and bathroom drains, • Replaces and repairs door and window hardware, • Changes HVAC filters, • Performs general labor work as assigned by the 7334 Stationary Engineer including loading, uploading, moving materials, and running errands for projects, • Replaces light bulbs/lamps and cleans fixtures; changes ballasts, • Responds quickly to emergency situations and concerns from HSH providers, • Patches and paints walls as needed, • Assembles and disassembles furniture, • Sets up events, • Complies with all applicable codes, regulations, governmental agency, and company directives as related to building operations and practices safe work habits, • Ability to lift a minimum of 50 pounds, • Shift: Monday-Friday: 6:00 AM – 2:30 PM Qualifications Minimum Qualifications: 1. One year of experience in the maintenance of buildings and grounds; OR, 2. Six months experience in Class 7524 Institutional Utility Worker; AND, 3. Possession of a valid Class C driver license (attach a copy to the application). Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on Employment Application and Minimum Qualifications and Verification of Experience and/or Education for considerations taken when reviewing applications. All work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications. Additional Information How To Apply Applications for City and County of San Francisco jobs are only accepted through an online process. Visit and begin the application process. • Select the “I’m Interested” button and follow instructions on the screen. Applicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com Applicants will receive a confirmation email from that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received. Selection Procedures Applications will be screened for relevant qualifying experience. Additional screening mechanisms may be implemented in order to determine candidates’ qualifications. Only those applicants who most closely meet the needs of the Department will be invited to participate in the selection process. Applicants meeting the minimum qualifications are not guaranteed advancement in the selection process. Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. If education verification is required, information on how to verify education requirements, including verifying foreign education credits or degree equivalency, can be found at Candidate knowledge center Resumes will not be accepted in lieu of a completed City and County of San Francisco application. Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores Note: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. Tuberculosis Screening: Prior to appointment, applicants may be required to take a tuberculosis (TB) screening test. Terms of Announcement and Appeal Rights Applicants must be guided solely by the provisions of this announcement, including requirements, time periods and other particulars, except when superseded by federal, state or local laws, rules or regulations. Clerical errors may be corrected by the posting the correction on the Department of Human Resources website at . Additional Information Regarding Employment with the City and County of San Francisco • Information About the Hiring Process, • Conviction History, • Employee Benefits Overview, • Equal Employment Opportunity, • Disaster Service Worker, • ADA Accommodation, • Veterans Preference, • Right to Work, • Copies of Application Documents The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

This is a full-time hybrid role for a Senior Machine Learning Engineer (Computer Vision), located in San Francisco, CA with flexibility for hybrid work. The engineer will design, develop, and implement computer vision models to drive advancements in health monitoring technology. Strong expertise in

A leading video platform is hiring an entry-level Machine Learning Engineer in San Francisco.In this full-time role, you will work on recommendation systems to improve user experience.Candidates should have a strong foundation in Computer Science and be proficient in machine learning.Excellent probl

Job DescriptionAbout Terawatt Infrastructure The once in a century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estate to site it on. Terawatt is the leader in delivering large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. Whether it’s an urban mobility hub, or a carefully located multi-fleet hub for semi-trucks, Terawatt brings the talent, capabilities, and capital to create reliable, cost-effective solutions for customers on the leading edge of the transition to the next generation of transport. With a growing portfolio of sites across the US in urban hubs and along key logistics and transportation corridors and logistics hubs, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through a robust combination of capital, real estate, development, and site operations solutions. The company develops, finances, owns, and operates charging solutions that take the cost and complexity out of electrifying fleets. At Terawatt, we execute humbly and with urgency to provide tailored solutions for fleets that delight our clients and support the transition of transportation.Role Description We are seeking a highly skilled Senior Data Engineer to join our growing team. In this role, you will design and implement scalable and efficient data architectures to support our business needs. You will collaborate closely with data scientists, analysts, and other cross-functional teams to build and optimize data pipelines, ensuring that data is accessible, secure, and well-structured for analytics and reporting. A key part of this role involves developing and maintaining data models, databases, and data lakes, while implementing robust data governance and quality assurance practices. You will drive the development of scalable data infrastructure aligned with company architecture standards and best practices. This role also requires curiosity and a commitment to building and maintaining production data lake pipelines that transform raw time-series data into ML-ready features, training datasets, and batch predictions. This includes ensuring data quality, reproducibility, and reliable retraining so ML outputs—such as forecasts and risk scores—can be trusted by downstream systems. Problems You Will Solve • Turning messy operational data into reliable signals by building pipelines that transform noisy, incomplete, and high-volume time-series data into trusted datasets for analytics, product features, and ML workflows Design a resilient lakehouse platform by architecting a scalable Databricks-based platform that support both streaming and batch workloads while ensuring governance, observability, and reliability * Enable production-ready ML pipelines by creating reproducible workflows, reliable feature datasets, and batch prediction pipelines that downstream systems can depend on * Enable self-service analytics and ML by building infrastructure and abstractions that allow analysts, engineers, and data scientists to independently explore and use data * Scale a platform for product and analytics by designing systems that support operational product features, internal reporting, and ML use cases without compromising performance or data quality Core Responsibilities • Architect and evolve a Databricks-based data platform that serves as the scalable foundation for product features, internal reporting, and ML workflows., • Set technical standards for modeling raw data into clean, reliable datasets, ensuring high integrity and point-in-time accuracy for both BI and ML applications., • Build and maintain self-service tooling and infrastructure abstractions that improve the developer experience for data producers, analysts, and data scientists., • Design and optimize high-performance ETL/ELT pipelines using Delta Live Tables and Structured Streaming to handle seamless ingestion from diverse data sources., • Own platform observability, testing, and proactive monitoring to ensure the performance and reliability of critical data delivery and pipeline health., • Architect and enforce data security, compliance, and access controls by implementing Unity Catalog and IAM (Identity and Access Management) best practices across the enterprise., • Build and maintain production-grade pipelines that transform raw data into ML-ready features, training datasets, and reliable batch predictions., • Lead Infrastructure as Code (IaC) initiatives using Terraform and improve team productivity by identifying technical debt and automating complex deployment workflows., • Partner with Engineering, Product, and Business teams to resolve ambiguities and ensure shipped data features are impactful, reliable, and aligned with business outcomes., • Build and maintain a self-service data lake environment, empowering non-data engineers and stakeholders to discover, explore, and analyze data independently., • Promote engineering excellence through code reviews, documentation, and technical standards for orchestration and testing.Minimum Qualifications, • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field., • 6+ years in data engineering, platform development, or large-scale data systems., • Hands-on experience with Databricks or modern lakehouse platforms and cloud platforms (AWS, GCP, or Azure)., • Experience building scalable ETL/ELT pipelines using Spark and SQL., • Proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)., • Strong understanding of data modeling, schema design, and performance optimization., • Experience building reliable, production-grade data pipelines with a focus on data quality and observability., • Experience supporting analytics and/or ML workflows, including preparing ML-ready datasets., • Working knowledge of data governance, security, and access control frameworks., • Familiarity with Infrastructure as Code (IaC) and automated deployment workflows (e.g., Terraform)., • Proven ability to collaborate across teams and contribute to technical direction.Preferred Qualifications, • Experience working with time-series, IoT, or high-volume telemetry data systems., • Familiarity with EV charging ecosystems, including OCPP (Open Charge Point Protocol)., • Domain experience in electric vehicles (EV), energy systems, or distributed energy resources (DERs)., • Experience building ML feature pipelines, training datasets, or batch inference workflows., • Experience designing self-service data platforms for analysts and data scientists., • Background in event-driven or real-time data architectures., • Solid software engineering experience, including writing maintainable production code, testing, and applying engineering best practices to data systems., • Solid software engineering experience, including writing maintainable production code, testing, and applying engineering best practices to data systems.

Job Description At AoPS, we are world leaders in teaching advanced mathematics. We train many of the most elite mathematicians in the world, including all members of the US International Math Olympiad team. Despite this impact, AoPS remains relatively unknown to the broader public. AoPS is unique because it is vertically integrated: it develops its own curriculum, runs its own physical learning centers, employs teachers, and has a robust and capable product, design, and engineering team. Today, our curriculum and academic programs are absolutely world-class, but our digital experiences are dated. Your job will be to reimagine Beast Academy - the digital learning experience for our youngest learners - and to push the upper bounds of great teaching and learning. At Beast Academy, we're at an inflection point. We've spent years building a learning experience that makes advanced mathematics irresistible to elementary students through comic books that kids can't put down and an online platform where struggling feels like playing. Hundreds of thousands of kids have fallen in love with math through Beast Academy, but we've just scratched the surface. Now, we're building a new, small, mission-driven team in San Francisco focused on reimagining how more students can better experience the magic of our world-class content. As a Software Engineer II you'll take ownership of features and components that help elementary students learn advanced mathematics. You'll be a core member of a small, mission-driven team in San Francisco, partnering directly with our Head of Beast Academy, curriculum designers, and the broader AoPS engineering organization to build products that make math irresistible to young learners. What You'll Do: Own Features End-to-End: You'll take responsibility for features from design through deployment, making sound technical decisions within your domain and delivering high-quality work that helps the team meet its commitments. Build Robust Solutions: Design and implement solutions that work reliably within your area of ownership. You'll evaluate trade-offs, consider how your work integrates with other systems, and address technical debt as you go. Grow Your Craft: Deepen your expertise in our tech stack and develop advanced knowledge in specific areas. You'll write efficient, maintainable code and continuously improve the systems you touch. Contribute to Technical Direction: Participate in design discussions, offer ideas, and help shape the technical approach for your components. Your perspective matters, and you'll have opportunities to influence how we build. Communicate Clearly: Keep stakeholders informed on your progress, surface blockers early, and collaborate effectively with your team. No surprises, just transparent communication that helps everyone move forward. Deliver Quality: Design for reliability from the start. You'll write thorough tests, implement monitoring where needed, and take pride in shipping work that holds up in production. The ideal candidate has: • 2–4 years of professional experience in full stack web development, • Solid proficiency with modern web technologies (we use TypeScript, React, Next.js, and PostgreSQL), • Ability to take ownership of features and deliver them independently with limited guidance, • Strong problem-solving skills and attention to code quality, • Comfort working in a fast-paced environment where requirements evolve, • Strong backend experience This is a hybrid full-time position based in our San Francisco office. The full salary range for this position is $123k-150k. Here are some things you can look forward to: • Impact: Join a small, high-agency team building the future of how students experience world-class education. Your work will directly affect hundreds of thousands of students who are discovering the joy of problem solving, • Flexibility: Casual work environment with flexible scheduling, • Benefits: Multiple options for Medical, Dental, and Vision plans, • Future Planning: 401(k) with company match, • Quality of Life: PTO plan and supportive leadership that gives you the work-life balance you deserve Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem-solving curriculum into more subjects, such as language arts, science, and computer science.

Job DescriptionAbout Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network. We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview Open to a range of experience levels We’re looking for a software engineer to join our simulation team. You’ll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models. We’re a small team early in the build. You’ll have real influence over both what we build and how we build it. Key Responsibilities • Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation, • Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models), • Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control, • Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training, • Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behaviorMinimum Qualifications, • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience, • Strong proficiency in Python (primary language of the simulation stack), • Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains, • Eligible to work in the United StatesPreferred Qualifications, • Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods), • Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation, • Experience building benchmarks or evaluation frameworks used across a team, • Experience developing synthetic data pipelines that improved downstream model performance, • Familiarity with real-time robotic systems and their constraints on simulation fidelity Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.