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Who we are MixRank processes petabytes of data every month from web crawling. We have hundreds of customers using our data products including Google, Amazon, Facebook, Intel, and Adobe, across industries Sales, Marketing, Finance, and Security. Team is 47+ full-time, full-remote from 20+ countries. We're growing, profitable, employee-owned, no dependence on outside funding. Applicants from all geographies and backgrounds are welcome. We are looking for passionate individuals for whom programming is not just a job but it's something they love to do. We're obsessed with computers, programming, big data, databases, compilers, hardware, math, data science, and the internet. Does this sound like you? Please apply to join our team. Our code base is very friendly to new contributors. You'll have a fully-functional development environment within hours (fully automated) and be pushing commits on your first day. Deployments to production happen multiple times per day and finish in less than 2 minutes. Effectively all of our codebase is written in Python, Rust, SQL, Javascript/TypeScript, and Nix. The core technologies you'll need familiarity with to be productive are Python, PostgreSQL, Linux, and Git. We care more about the candidate as a person than the specific technology experience. We operate at a larger scale than typical startups. We operate two datacenters with high performance servers we've built that are capable of dealing with the volumes of data we process. We've implemented our own distributed file system. We do full-scale web crawls. We download and perform static analysis on the entire universe of Android APKs and iOS IPAs that are published. Unlike a typical startup where you'll spend half of your time in meetings, and the other half fixing bugs from Jira tickets- at MixRank you'll get to challenge yourself with difficult technical problems that will help you to grow as an individual. Who we're looking for We're hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, devops, and more. We'll cater the role to whatever subset of these areas match your interests. Beneficial experience includes PostgreSQL, Python, Rust, Linux, TypeScript, Nix, frontend/backend web development, and data mining. Please include your updated resume when applying for this role.

Join to apply for the Frontend Software Engineer role at Chalk Join to apply for the Frontend Software Engineer role at Chalk Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance 15 company holidays each year ️15 days of personal time off each year Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk Compensation Chalk offers early team members a generous salary + equity package based on experience and competitive benefits. Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Chalk by 2x Inferred from the description for this job Medical insurance Vision insurance Get notified about new Software Engineer jobs in San Francisco, CA . San Francisco, CA $160,000.00-$180,000.00 2 weeks ago Software Engineer, Infrastructure, Early Career San Francisco, CA $150,000.00-$230,000.00 4 months ago Full-Stack Software Engineer (Jr/Mid level) San Francisco, CA $180,000.00-$280,000.00 2 weeks ago San Francisco, CA $57.00-$61.00 3 weeks ago Software Development Engineer I - Frontend & Mobile San Francisco, CA $99,500.00-$200,000.00 1 day ago San Francisco, CA $57.00-$61.00 3 weeks ago San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $160,000.00-$200,000.00 2 months ago San Francisco, CA $120,000.00-$190,000.00 9 months ago Software Engineer, AI Intern (Summer 2026) San Francisco, CA $57.00-$61.00 3 weeks ago San Francisco, CA $163,200.00-$223,200.00 2 weeks ago San Francisco, CA $125,000.00-$175,000.00 2 months ago Software Engineer, AI Intern (Winter 2026) San Francisco, CA $57.00-$61.00 3 weeks ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 6 days ago San Francisco, CA $150,000.00-$283,000.00 2 weeks ago San Francisco, CA $140,000.00-$280,000.00 9 months ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $140,000.00-$180,000.00 1 day ago We're unlocking community knowledge in a new way. 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Instead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users - the experience we've always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI. Chalk's infrastructure is not just about powering decisions; it's about empowering developers. We deeply understand the pain points and workflows that make machine learning challenging, and Chalk was built to ease that pain. About the role We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. THIS IS A 5 DAYS A WEEK IN OFFICE ROLE. We are looking for a software engineer with a strong background in systems engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems. Chalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write Python and Rust Design, implement, ship, and maintain significant components of our query planning and execution engine Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional backend software engineering experience Strong working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real systems Comfort with leading development of new components of existing systems, and with taking ownership of existing software Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience with distributed systems/compilers/query planners Experience with Rust Experience with developing PaaS-like software Benefits Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We recently raised a $50 million Series A, led by Felicis. About the role We are hiring exceptional engineers to join the Infrastructure team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for a platform engineer with a strong background in infrastructure engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems. Chalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems. What you will do Write code to automate orchestration and provisioning of infrastructure to execute Chalk technology for Chalk customers and prospects. Build a platform for managing our hosted platform, and for managing the deployment of Chalk into customer-owned cloud accounts across AWS and GCP Work closely with our Engineering and Sales teams Help interview and grow the Engineering team What we're looking for 2+ years experience writing software to automate infrastructure management Proficient in Python, Go, and/or Terraform Experienced in working with AWS and/or GCP Ability to collaborate effectively in teams of technical and non-technical individuals Experience working closely with sales teams and customers is a plus Bachelor's degree in Computer Science or equivalent Previous experience working with ML/data products or services Have experience setting up hosted cloud resources for multiple companies Understanding of Machine Learning Ops/Infrastructure Benefits Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day Staying late? Dinner is on us Compensation Chalk offers early team members a generous salary + equity package based on experience and competitive benefits. Actual compensation awarded to successful candidates will be based on several factors, including but not limited to: market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information you do provide will be recorded and maintained in a confidential file. For more information, see Chalk's Equal Employment Opportunity policy. Narrative explanation of disability categories or other self-identification topics are provided to assist with compliance. Participation is voluntary and will not affect hiring decisions. PUBLIC BURDEN STATEMENT: This survey should take about 5 minutes to complete.

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we're building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you'll drive efficiency improvements across our distributed training stack. You'll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering-analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You'll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage. Optimize GPU utilization and throughput for large-scale distributed model training. Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance. Implement model graph transforms to improve end-to-end throughput. Build tooling to monitor and visualize MFU, throughput, and uptime across clusters. Partner with researchers to ensure new model architectures scale efficiently during pre training. Contribute to infrastructure decisions that improve reliability and efficiency of large training jobs. You might thrive in this role if you: Love optimizing performance and digging into systems to understand how every layer interacts. Have strong programming skills in Python and C++ (Rust or CUDA a plus). Have experience running distributed training jobs on multi GPU systems or HPC clusters. Enjoy debugging complex distributed systems and measuring efficiency rigorously. Have exposure to frameworks like PyTorch, JAX, or TensorFlow and an understanding of how large-scale training loops are built. Are comfortable collaborating across teams and translating raw profiling data into practical engineering improvements. Nice to have: Familiarity with NCCL, MPI, or UCX communication libraries. Experience with large-scale data loading and checkpointing systems. Prior work on training runtime, distributed scheduling, or ML compiler optimization. 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: $250K - $460K

Saalex is seeking a Senior Data Solution Architect to support NSWC Carderock's requirements for engineering, IT, and technical support for data analysis, software development and modifications, control system development, IT and Information assurance (IA). The work performed will be in support of various projects related to surface ships, submarines, boats and combatant craft, air vehicles, other vehicles going through air and/or water, associated trainers and simulators from any of the above, and IT infrastructure. Senior Data Solution Architect research, design, develop, and test computer hardware and software programs. Hardware refers to computer chips, circuit boards, computer systems, and related equipment such as keyboards, modems, and printers. Senior Data Solution Architect develops software systems that control computers. Computer hardware engineers work exclusively with computers and computer-related equipment. In addition to design and development duties, computer hardware engineers supervise the manufacturing and installation of computers and computer-related equipment. Senior Data Solution Architect develop new computer software systems and to incorporate new technologies in a rapidly growing range of applications. Computer software engineers apply the principles and techniques of computer science, engineering, and mathematical analysis to the design, development, testing, and evaluation of the software and systems that enable computers to perform their many applications. Software engineers analyze users' needs and design, construct, test, and maintain computer applications software or systems. Senior Data Solution Architect can be involved in the design and development of many types of software, including software for operating systems and network distribution, and compilers, which convert programs for execution on a computer. They also solve technical problems that arise. Software engineers must possess strong programming skills but are more concerned with developing algorithms and analyzing and solving programming problems than with actually writing code. Qualifications: Required: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Desired: Possess and maintain all qualifications for certification in Scaled Agile Framework (SAFe). Twenty (20) years of experience in Cyber and IT strategy and planning. The twenty (20) years of experience shall include experience in all of the following: Architecting, developing, deploying and leading large scale data migrations involving time series data streams with multiple data channels such as those collected from full-scale trials, model scale tests, and digital simulations. Developing data storage solutions for large data repositories that ensure integrity, redundancy and availability while maintaining the original raw data. Deploying reporting engines on top of databases and database architectures such as Oracle, TimeScaleDB and PostgreSQL. Using tools to analyze platform time series data such as Artificial Intelligence and Machine Learning in maritime applications. Building and supporting cloud based solutions in Amazon Web Services (AWS) GovCloud and VMWare. Clearance Required: Final Secret Competitive Compensation: We offer a highly competitive salary package to attract and retain top talent in the industry. Our compensation structure is designed to reward exceptional performance and provide financial stability. Comprehensive Health Coverage: We provide a comprehensive health insurance plan that covers medical, dental, and vision expenses. Our goal is to ensure that our employees have access to quality healthcare and can take care of their well-being. Retirement Savings: We offer a robust retirement savings program, including a 401(k) plan, to help our employees plan for their future. We provide matching contributions to help accelerate their savings and build a solid financial foundation. Work-Life Balance: We believe in the importance of work-life balance and understand that our employees have personal commitments and responsibilities. We offer generous paid time off to support our employees in maintaining a healthy work-life integration. Professional Development: We are committed to the growth and development of our employees. We provide various opportunities for professional development, including training programs, and tuition reimbursement, to help them expand their skills and advance in their careers. Recognition and Rewards: We value the contributions of our employees and believe in recognizing their achievements. We have a robust recognition program in place, including employee appreciation events, and employee recognition awards, to acknowledge and reward exceptional work. Positive and Inclusive Work Environment: We foster a positive and inclusive work environment where diversity is valued, and employees feel respected and empowered. We promote collaboration, open communication, and teamwork to create a supportive atmosphere that enables everyone to thrive. Saalex Solutions, a division of Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. We employ a workforce of over 600 at military and NASA installations nationwide and have offices in Camarillo CA, Rockledge FL, Newport RI, Ridgecrest CA, Corona CA and Keyport WA. Equal Opportunity Employer/Veterans/Disabled Pay Transparency Nondiscriminatory Provision

SBT is the exclusive executive recruiting firm for this confidential position. President at SBT This confidential startup redefines AI accessibility through innovative software and hardware solutions. As one of the leading contributors, you will play a pivotal role in defining AI strategy and driving the development of advanced accelerator software. This position will oversee the entire AI technology stack, from conceptualization to implementation, ensuring that software development meets the highest standards of performance and efficiency. Key Responsibilities Develop and execute the strategic roadmap for AI-driven compiler engineering, staying ahead of technology trends and industry challenges in semiconductors. Lead research, design, and development of compiler technologies leveraging AI to enhance optimization of semiconductor products. Collaborate closely with architecture, hardware design, and software teams to embed compiler AI solutions seamlessly into product development pipelines. Champion collaboration between hardware and software engineering groups to ensure co-development and tight integration of AI-driven compiler technologies with semiconductor designs. Drive creation of co-design methodologies and workflows that accelerate prototype development, proof-of-concepts, and reference designs demonstrating AI compiler benefits in real-world semiconductor applications. Build, mentor, and manage high-performing engineering teams specializing in compilers, machine learning, and AI technologies. Qualifications Advanced degree in Computer Science, Electrical Engineering, or a related field; Ph.D. strongly preferred. Deep expertise with leading teams focused on compiler development for machine learning applications. Extensive knowledge of machine learning, deep learning, compilers, and AI algorithms relevant to semiconductor software development. Proven track record of building and managing high-performing, innovative technical teams. Passionate about driving innovation with a strong commitment to ethical and responsible AI development. Seniority Level Director Employment Type Full-time Industries Semiconductor Manufacturing, Software Development, and Computer Hardware Manufacturing

Machine Learning Engineer, LLM Fine Tuning We are actively hiring for a Machine Learning Engineer focused on LLM fine tuning for Verilog/RTL applications. Location: San Jose, CA (Onsite) Skills: LLM fine tuning, Verilog/RTL, AWS, Bedrock, SageMaker Responsibilities Own the technical roadmap for Verilog/RTL focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. Lead a hands on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. Fine tune and customize models using state of the art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL specific evals: Compile /lint /simulate based pass rates, for code generation, constrained decoding to enforce syntax, and "does it synthesize" checks. Design privacy first ML pipelines on AWS: Training/customization and hosting using Amazon Bedrock and SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least privilege, CloudTrail auditing, and Secrets Manager for credentials. Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. Stand up dependable model serving: Bedrock model invocation where it fits, and/or low latency self hosted inference (vLLM/TensorRT LLM), autoscaling, and canary/blue green rollouts. Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. Drive productization: integrate LLMs with internal developer tools (IDEs/plug ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool use/function calling. Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure by default systems. Qualifications 10+ years total engineering experience with 5+ years in ML/AI or large scale distributed systems; 3+ years working directly with transformers/LLMs. Proven track record shipping LLM powered features in production and leading ambiguous, cross functional initiatives at Staff level. Deep hands on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization aware fine tuning (LoRA/QLoRA), and constrained/grammar guided decoding. AWS expertise to design and defend secure enterprise deployments: Bedrock, SageMaker, S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries IT Services and IT Consulting

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis. About the role You'll be a Software Engineer, write some code and manage a team. Working directly with our founders, you'll lead a team of exceptional engineers building our platform for real-time inference at scale. This role is a unique opportunity to shape technical architecture and engineering culture at a fast-growing, early-stage company. You'll collaborate with brilliant folks, including Putnam and Advent of Code winners, former Jane Street quants, and Rust compiler contributors - all dedicated to bending the curve of what's possible in ML inference. We work in-person Monday through Friday in our SF and NY offices. We don't currently offer remote or hybrid positions. What you will do Lead a team of engineers building Chalk's data platform Partner with the founding team to define and execute our technical roadmap Lead with a player-coach mindset - jumping into the code whenever needed Establish engineering processes that enable high velocity without sacrificing quality Work directly with customers to understand requirements and ensure Chalk's platform solves real-world ML challenges Shape Chalk's engineering culture as we grow - you'll help us nurture top talent What we're looking for 5+ years of engineering experience with 2+ years of technical leadership Previous experience at an early-stage startup Experience building production ML systems or data infrastructure Strong programming skills and systems thinking - you understand how things work under the hood Ability to lead technical teams while still enjoying hands-on work Strong communicator who can bridge technical and business contexts Proven track record of delivering complex projects on time Bachelor's degree in Computer Science or equivalent Experience with Rust or distributed systems Experience with query planners or compilers Experience implementing data infrastructure or PaaS-like software Experience scaling engineering teams in high-growth environments Chalk offers comprehensive medical, dental, and vision insurance, retirement savings, 15 company holidays each year, 15 days of personal time off each year, Flex Commuter Benefits, daily lunch and dinner, and a fully-stocked office with drinks and snacks. Compensation Chalk offers early team members a generous salary + equity package based on experience and competitive benefits. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis. About the role You'll be a Software Engineer, write some code and manage a team. Working directly with our founders, you'll lead a team of exceptional engineers building our platform for real-time inference at scale. This role is a unique opportunity to shape technical architecture and engineering culture at a fast-growing, early-stage company. You'll collaborate with brilliant folks, including Putnam and Advent of Code winners, former Jane Street quants, and Rust compiler contributors - all dedicated to bending the curve of what's possible in ML inference. We work in-person Monday through Friday in our SF and NY offices. We don't currently offer remote or hybrid positions. What you will do Lead a team of engineers building Chalk's data platform Partner with the founding team to define and execute our technical roadmap Lead with a player-coach mindset - jumping into the code whenever needed Establish engineering processes that enable high velocity without sacrificing quality Work directly with customers to understand requirements and ensure Chalk's platform solves real-world ML challenges Shape Chalk's engineering culture as we grow - you'll help us nurture top talent What we're looking for 5+ years of engineering experience with 2+ years of technical leadership Previous experience at an early-stage startup Experience building production ML systems or data infrastructure Strong programming skills and systems thinking - you understand how things work under the hood Ability to lead technical teams while still enjoying hands-on work Strong communicator who can bridge technical and business contexts Proven track record of delivering complex projects on time Bachelor's degree in Computer Science or equivalent Experience with Rust or distributed systems Experience with query planners or compilers Experience implementing data infrastructure or PaaS-like software Experience scaling engineering teams in high-growth environments Chalk offers comprehensive medical, dental, and vision insurance, retirement savings, 15 company holidays each year, 15 days of personal time off each year, Flex Commuter Benefits, daily lunch and dinner, and a fully-stocked office with drinks and snacks. Compensation Chalk offers early team members a generous salary + equity package based on experience and competitive benefits. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

Title: Software Engineer (C++ Systems) Location: San Francisco, CA, United States (Onsite) - Relocation packages are available. Client Industry: AI infrastructure industry / GPU Virtualization Skills: C++, Rust Job Description We are looking for a Software Engineer (C++ Systems) to join our team and work on the core of our GPU virtualization stack. This role is ideal for someone who thrives on optimizing microsecond level performance in complex C++ systems and is passionate about building impactful low level GPU software. You will be instrumental in scaling our platform and serving a rapidly growing customer base. What You'll Do Performance optimization of the C++ virtualization library. Research into oversubscription, checkpointing, and distributed GPU clusters. Support new architectures with deep understanding across the system. Systems level debugging in production environments. Diagnose performance issues in machine learning workloads. Tech Stack C++ Work Policy On site work policy. Typically 60-65 hour work weeks, which may require weekend work. Work Experience 2+ years of experience in C++ systems engineering. Experience working on low level systems in production. Experience with compilers, networking protocols, or kernels. Education Required: Degree from a top Computer Science program with a 3.7+ GPA. Required: School/University (Top 5 IITs or top 20 college/universities in the US). Hard Skills Elite C++ expertise (Rust also sufficient but they will be working in C++). Experience optimizing NIC/C++ performance. Ability to trace performance issues across the stack.

Instead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users - the experience we've always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI. Chalk's infrastructure is not just about powering decisions; it's about empowering developers. We deeply understand the pain points and workflows that make machine learning challenging, and Chalk was built to ease that pain. About the role We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. THIS IS A 5 DAYS A WEEK IN OFFICE ROLE. We are looking for a software engineer with a strong background in systems engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems. Chalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write Python and Rust Design, implement, ship, and maintain significant components of our query planning and execution engine Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional backend software engineering experience Strong working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real systems Comfort with leading development of new components of existing systems, and with taking ownership of existing software Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience with distributed systems/compilers/query planners Experience with Rust Experience with developing PaaS-like software Benefits Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job

Senior Staff Engineer/Principal Memory Design EngineerSenior Staff Engineer/Principal Memory Design Engineer 3 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. MediaTek's advanced Memory Design team in San Jose is looking for a senior memory design engineer to define and architect memory circuits for high performance compute ASICs targeting Cloud AI, Data Center Networking, Automotive and other Enterprise ASIC applications as well as edge AI Machine Learning (ML) Accelerator SoCs Responsibilities Primary job responsibilities include close collaboration with tier-1 ASIC customers in North America to co-design embedded memory architectures and circuits in advanced nodes Collaborate closely with product and architecture teams to define, design, and develop high performance customized semiconductor memories including SRAM, TCAM, CPU caches and Compute-In-Memory (CIM) macros with varied PPA requirements spanning across Cloud AI, Networking, Automotive and edge AI applications Design dual rail custom memories from start to finish to meet customer PPA spec Innovate, design, and incorporate special circuits and features to achieve best-in-class PPA for custom and compiler memories Mentor, guide, and direct other designers, while being hands-on in digital circuit design, especially targeting memories Highly organized and independent design engineer who can multi-task and closely collaborate with worldwide design and CAD teams Qualifications 12+ years of hands-on experience in design of embedded memories (SRAM, TCAM) for high performance processors or ASICs in advanced nodes (3nm/5nm) Strong track record of offering innovative solutions (papers, patents), good understanding of technology roadmap and market for embedded memories Strong understanding of Digital Circuit design techniques in FinFET technologies Exposure to complete design cycle of SRAM memory and compiler development Supervise layout engineers and review layout for optimality Have the ability to come up with comprehensive design verification plans, silicon bring-up plans for high-performance embedded memories Experience with LEC tools (ESPCV) Ability to review and coordinate layout activities Silicon debug and bring up experience is required Working knowledge of scripting in Perl/Python Willingness to collaborate closely with cross functional teams across the globe Salary range: $180,000 - $260,000 Employee may be eligible for performance bonus, short and long term incentive programs. Actual total compensation will be dependent upon the individual's skills, experience and qualifications. In addition, MediaTek provides a variety of benefits including comprehensive health insurance coverage, life and disability insurance, savings plan, Company paid holidays, Paid time off (PTO), Parental leave, 401K and more. MediaTek is an Equal Opportunity Employer that is committed to inclusion and diversity to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSemiconductor Manufacturing Referrals increase your chances of interviewing at MediaTek by 2x Sign in to set job alerts for "Design Engineer" roles. Menlo Park, CA $170,000.00-$240,000.00 3 weeks ago Menlo Park, CA $139,000.00-$200,000.00 2 weeks ago Product Design Engineer (University Grad) Sunnyvale, CA $111,000.00-$131,000.00 5 days ago Palo Alto, CA $121,000.00-$214,000.00 2 weeks ago Sunnyvale, CA $204,000.00-$281,000.00 3 weeks ago Product Design Mechanical Engineer, Reality Labs Sunnyvale, CA $204,000.00-$281,000.00 3 weeks ago Sunnyvale, CA $139,000.00-$200,000.00 3 weeks ago Sunnyvale, CA $170,000.00-$240,000.00 3 weeks ago Mechanical Engineer (Battery Technology) Sunnyvale, CA $111,000.00-$164,000.00 3 weeks ago Union City, CA $90,000.00-$120,000.00 2 weeks ago Milpitas, CA $135,000.00-$150,000.00 1 day ago Thermal Design Engineer (University Grad) Sunnyvale, CA $111,000.00-$131,000.00 3 weeks ago Sunnyvale, CA $139,000.00-$200,000.00 3 weeks ago Sunnyvale, CA $111,000.00-$164,000.00 3 weeks ago Palo Alto, CA $110,000.00-$140,000.00 2 weeks ago Fremont, CA $82,000.00-$181,000.00 3 days ago Launch Engineer, New Product Introduction, General Assembly Palo Alto, CA $80,000.00-$150,000.00 2 weeks ago Product Design Engineer, Amazon Devices-Hardware Sunnyvale, CA $105,600.00-$185,000.00 2 weeks ago Menlo Park, CA $139,000.00-$200,000.00 3 weeks ago Fremont, CA $70,000.00-$155,000.00 1 week ago We're unlocking community knowledge in a new way. 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5 days ago Be among the first 25 applicants Description Do you want to be part of the AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building the next generation Neuron compiler which transforms ML models written in popular frameworks (e.g., PyTorch, TensorFlow, and JAX) to be deployed on AWS Inferentia and Trainium based servers in the Amazon cloud. You will solve hard compiler optimization problems to achieve optimum performance for a wide variety of ML model families, including massive scale large language models such as Llama and Deepseek, as well as stable diffusion, vision transformers, and multi model solutions. You will need an in depth understanding of how these models work inside out to make informed decisions that coax the compiler into generating optimal instruction implementations. You will leverage technical communications skills to partner with internal and external customers/stakeholders and will be involved in pre silicon design, bringing new products/features to market, ultimately making the Neuron compiler highly performant and easy to use. Key job responsibilities Design, implement, test, deploy, and maintain innovative software solutions to improve Neuron compiler performance, stability, and user interface. Collaborate with chip architects, runtime/OS engineers, scientists, and ML Apps teams to seamlessly deploy state of the art ML models on AWS accelerators with optimal cost/performance benefits. Work with open source software (StableHLO, OpenXLA, MLIR) to pioneer optimizations for advanced ML workloads on AWS hardware. Create compiler optimization and verification passes, build feature surface areas for AWS accelerators, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. Participate in design discussions, code reviews, and communicate with internal and external stakeholders, including open source communities. Day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create optimization passes, build feature surface areas for AWS accelerators, implement analysis tools, and resolve compiler defects. You'll also engage in design discussions, code reviews, and maintain effective communication with internal teams and external communities in a startup like environment. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and celebrate knowledge sharing and mentorship. Senior members enjoy one on one mentoring and thorough, but kind, code reviews. We care about career growth and strive to assign projects that help team members develop engineering expertise. Basic Qualifications 3+ years of non internship professional software development experience. 2+ years of non internship design or architecture (design patterns, reliability, and scaling) of new and existing systems. Experience programming with at least one software programming language. Preferred Qualifications Master's degree or PhD in Computer Science, or a related technical field. 3+ years of experience writing production grade code in object oriented languages such as C++ or Java. Experience in compiler design for CPU/GPU/Vector engines/ML accelerators. Experience with OpenSource compiler toolsets like LLVM/MLIR. Experience with PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms. Experience with modern build systems such as Bazel or CMake. 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: working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider 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, please visit for more information. Compensation reflects the cost of labor across several US geographic markets. Base pay ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on multiple factors including location, experience, and skills. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join to apply for the Software Engineer, Mid-Level role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Software Engineer, Mid-Level role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Meta Platforms, Inc. builds technologies that help people connect and grow businesses. They are seeking a Software Engineer to research, design, develop, and test software solutions for complex social data and prediction problems, leveraging deep learning and machine learning techniques. Responsibilities: • Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. • Have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. • Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. • Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools. • Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. • Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Qualifications: Required: • Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field • Completion of one graduate-level coursework, research project or internship must include experience in the following: • Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems • Translating insights into business recommendations • Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark • Developing and debugging in C/C++ and Java • Scripting languages such as Perl, Python, PHP, or shell scripts • Relational databases and SQL • Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) • Linux, UNIX, or other ix-like OS as evidenced by file manipulation, advanced commands, and shell scripting • Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction • Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems Company: Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Software Engineer jobs in Menlo Park, CA . Palo Alto, CA $160,000.00-$180,000.00 2 weeks ago Mountain View, CA $145,000.00-$170,000.00 1 week ago Mountain View, CA $138,225.00-$207,575.00 1 week ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 1 week ago Graduate Software Engineer (Redwood City, CA)Software Engineer (L4), Content & Business Products Palo Alto, CA $96,000.00-$200,000.00 2 weeks ago San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago Mountain View, CA $130,000.00-$176,000.00 5 days ago San Jose, CA $100,500.00-$173,250.00 3 days ago Palo Alto, CA $107,000.00-$145,400.00 2 weeks ago Palo Alto, CA $115,000.00-$260,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago eCommerce Full Stack Developer (React / Shopify) - On Site San Jose, CA $113,400.00-$206,300.00 1 week ago Software Engineer - New Grad (2026 Start) San Jose, CA $113,400.00-$206,300.00 1 week ago Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Mateo, CA $145,000.00-$165,000.00 2 weeks ago San Jose, CA $93,200.00-$170,600.00 1 week ago Palo Alto, CA $195,000.00-$215,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago Software Development Engineer - Front End San Jose, CA $133,900.00-$242,000.00 5 days ago We're unlocking community knowledge in a new way. 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Join to apply for the Founding Software Engineer role at Attune (YC X25) Join to apply for the Founding Software Engineer role at Attune (YC X25) Get AI-powered advice on this job and more exclusive features. This range is provided by Attune (YC X25). Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $200,000.00/yr Attune is building developer tools for a post-AI world. Our first product is faster build tools that require zero migration effort. AI is enabling engineers to write code faster than ever. The next bottleneck will be all the other tooling between code and deployment. We're looking for a Founding Software Engineer to help us build the future of software development: someone with the taste to see how the future of software development should look, and the autonomy and pragmatism to build that future. This is for you if You care deeply about the craft of software engineering. We think the best tools can only be built by people who earnestly care. You're comfortable jumping around in different programming languages. We'll mostly be building in Rust, but you should expect to quickly pick up other languages in order to understand how their build systems work. You're unafraid of digging into black boxes. Hacking compilers tends to involve a lot of reading the spec, realizing that the spec is incomplete, and then reading the source code to understand behavior. You own problems end-to-end. Building the future involves talking to customers, understanding their needs, navigating ambiguity, and wearing lots of hats. Bonus points if you've shipped 0-to-1 in production before. Why you should join Work alongside experienced co-founders. Both of us have scaled previous developer tools companies from zero to 8 figures, and we know where all the pitfalls are. Build the future you want to see. Have you ever been annoyed at your tools, but never had time to actually fix them? Come work on that full-time. Fix a huge problem. Software teams spend over $4B a year on builds alone, and that's just where we're starting. Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Attune (YC X25) by 2x Sign in to set job alerts for "Software Engineer" roles. San Francisco, CA $130,000.00-$238,000.00 4 days ago San Francisco, CA $40,000.00-$70,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 3 days ago Full-Stack Software Engineer (Jr/Mid level) San Francisco, CA $150,000.00-$283,000.00 2 days ago San Francisco, CA $150,000.00-$230,000.00 3 months ago San Francisco, CA $99,500.00-$200,000. hours ago San Francisco, CA $150,000.00-$176,000.00 2 months ago San Francisco, CA $120,000.00-$190,000.00 8 months ago San Francisco, CA $130,000.00-$140,000.00 1 day ago Software Development Engineer I - Frontend & Mobile San Francisco, CA $99,500.00-$200,000.00 2 days ago San Francisco, CA $125,000.00-$175,000.00 1 month ago Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA $167,300.00-$334,600.00 6 days ago San Francisco, CA $130,000.00-$240,000.00 5 days ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 2 weeks ago Front End Software Engineering II, Slack San Francisco, CA $157,600.00-$236,500.00 1 day ago San Francisco, CA $120,000.00-$160,000.00 1 day ago San Francisco, CA $150,000.00-$158,000. hours ago Alameda, CA $130,000.00-$160,000.00 1 month ago San Francisco, CA $150,000.00-$300,000.00 3 weeks ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $99,500.00-$200,000.00 1 day ago San Francisco, CA $120,000.00-$140,000.00 4 weeks ago San Francisco, CA $140,000.00-$280,000.00 8 months ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $150,500.00-$269,200. hours ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, optimization and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation. We are looking for engineers with ML software or ML systems expertise to help us improve compute performance on both cloud and car. You'll work across the entire ML stack from the system perspective, from efficient deep learning models, model compression, ML software (e.g. JAX, XLA, Triton, and CUDA), to . You will be pleasantly challenged with deploying Waymo ML models on limited computation resources. In this hybrid role, you will report to the Senior Manager of Runtime and Optimization. You will: Lead the collaboration with the world-class Waymo ML scientists in perception, planner, research and simulation. Identify opportunities in both systems and models to make ML workloads faster. Lead projects from proposals through execution by developing junior engineers. Analyze and improve ML system workloads on both cloud and self-driving cars . Apply model optimization, efficient deep learning techniques and ML software improvements to Waymo's ML systems. You have: M.S. in CS, EE, Deep Learning or a related field 2+ years of experience as a technical lead, including writing project plans, engaging with customer teams, mentoring, responsible for goals & execution, reporting status. 5+ years of experience developing solutions in ML systems or ML software stack (Pytorch/JAX/TF, runtime libraries, ML compiler). Deep understanding of ML system architecture, performance analysis and tools. Strong Python or C++ programming skills We prefer you have one or more of the following: PhD in CS, EE, Deep Learning or a related field. Familiarity with the HW architecture of ML hardware accelerators (e.g., GPU/TPU). Deep knowledge of model optimization or efficient deep learning techniques for foundation models or LLM. Experience with GPU HW or TPU HW and related system software. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range: $204,000-$259,000 USD

Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select LinkedIn Profile Which office location are you applying for - NY or SF? Select Are you able to work from either our NY or SF office 5 days a week? Select Why do you want to work at Chalk? Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Chalk's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. 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Join to apply for the Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs role at Amazon Web Services (AWS) 1 day ago Be among the first 25 applicants Description The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and are used for building Generative AI on AWS. The Inferentia chip delivers top ML inference performance at the lowest cloud cost. Trainium provides the best ML training performance with high TFLOPS. This is enabled by the AWS Neuron SDK, which includes an ML compiler, runtime, and integration with frameworks like PyTorch, TensorFlow, and MxNet. AWS Neuron and Inferentia are used by customers such as Snap, Autodesk, Amazon Alexa, and Amazon Rekognition. The Team The Amazon Annapurna Labs team develops silicon for AWS, covering silicon engineering, hardware design, verification, software, and operations. The AWS Neuron team focuses on optimizing neural net model performance on AWS hardware, developing a deep learning compiler stack that translates framework descriptions into executable code. The team aims to create a toolchain that significantly boosts performance. Your Role As a Sr. Machine Learning Compiler Engineer III, you will lead the development and scaling of a compiler for large ML workloads, architect and implement critical features, publish research, and mentor engineers. You will collaborate with AWS ML services teams and be involved in pre-silicon design, product launches, and other projects. Experience in ML and AI accelerators is preferred but not required. Candidates must be willing to relocate to Seattle. About The Team We value inclusion, with employee-led affinity groups, benefits, and diversity conferences. Our culture emphasizes learning, trust, and diverse perspectives. We prioritize work-life balance, offering flexible hours. We support career growth through mentorship and project assignments that develop professional skills. Basic Qualifications 5+ years of professional software development experience Proficiency in at least one programming language Experience in system design, reliability, and scaling Full software development lifecycle experience Experience mentoring or leading engineering teams Preferred Qualifications Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer. For accommodation support, visit this link. Compensation varies by location and experience, with additional benefits. The position remains open until filled. Apply via our careers site.