Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Amazon, Dell Technologies, Merck, or The University of Texas System among many other leading organizations in the Austin area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - IT Support - Application Development - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Austin, TX-78703
04/04/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Amazon, Dell Technologies, Merck, or The University of Texas System among many other leading organizations in the Austin area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - IT Support - Application Development - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Austin, TX-78703
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Amazon, Dell Technologies, Merck, or The University of Texas System among many other leading organizations in the Austin area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - IT Support - Application Development - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
04/04/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Amazon, Dell Technologies, Merck, or The University of Texas System among many other leading organizations in the Austin area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - IT Support - Application Development - Project Management Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Investment Operations - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
04/04/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Investment Operations - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Investment Operations - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Boston, MA-02108
04/03/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Harvard University, Wayfair, Salesforce, or Wellington Management among other leading organizations in the Greater Boston area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Banking - Business Operations - IT Support - Investment Operations - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Boston, MA-02108
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Citizens, Amica Mutual Insurance Company, Lifespan, or Fidelity, among other leading organizations in the Providence area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Business Operations - IT Support - Financial Operations - Banking - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Providence, RI-02902
04/03/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Citizens, Amica Mutual Insurance Company, Lifespan, or Fidelity, among other leading organizations in the Providence area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Business Operations - IT Support - Financial Operations - Banking - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Providence, RI-02902
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Citizens, Amica Mutual Insurance Company, Lifespan, or Fidelity, among other leading organizations in the Providence area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Business Operations - IT Support - Financial Operations - Banking - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
04/03/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Citizens, Amica Mutual Insurance Company, Lifespan, or Fidelity, among other leading organizations in the Providence area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Business Operations - IT Support - Financial Operations - Banking - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.
Description Build and maintain scalable data infrastructure to support novel AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands on technical contribution to data preparation workflows. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. 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 Strong software engineering background with full stack development experience Deep understanding of machine learning fundamentals, particularly large scale model training Expertise in distributed systems, cloud computing, and scalable data processing Experience with data pipeline design, ETL processes, and data management systems Proficiency in translating academic concepts into production systems 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 Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing Background in research environments or supporting ML research workflows Experience with data visualization and annotation tooling Familiarity with modern data filtering and deduplication methodologies 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
04/02/2026
Full time
Description Build and maintain scalable data infrastructure to support novel AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands on technical contribution to data preparation workflows. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. 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 Strong software engineering background with full stack development experience Deep understanding of machine learning fundamentals, particularly large scale model training Expertise in distributed systems, cloud computing, and scalable data processing Experience with data pipeline design, ETL processes, and data management systems Proficiency in translating academic concepts into production systems 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 Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing Background in research environments or supporting ML research workflows Experience with data visualization and annotation tooling Familiarity with modern data filtering and deduplication methodologies 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
5 days ago Be among the first 25 applicants Direct message the job poster from GreyOrange I help you crack the Talent code Redefining HR Location: SF, Redwood City CA Range: $225,000 - $265,000 About GreyOrange GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide. Our solutions increase productivity, empower growth and scale, mitigate labor challenges, reduce risk and time to market, and create better experiences for customers and employees. Founded in 2012, GreyOrange is headquartered in Atlanta, Georgia, with offices and partners across the Americas, Europe and Asia. Our Solutions The GreyMatter Multiagent Orchestration (MAO) platform provides vendor-agnostic fulfillment orchestration to continuously optimize performance in real time: the right order, with the right bot and agent, taking the right path and action. Currently operating more than 70 fulfillment sites across the globe (with deployments of 700+ robots at a single site), GreyMatter enables customers to decrease their fulfillment Cost Per Unit by 50%, reduce worker onboarding time by 90% and optimize peak season performance. In retail stores, our gStore end-to-end store execution and retail management solution supports omnichannel fulfillment, real-time replenishment, intelligent workforce tasking and more. Using real-time overhead RFID technology, the platform increases inventory accuracy up to 99%, doubles staff productivity, and enables an engaging, seamless in-store experience. Job Overview As a Principal Architect, you will lead the design and evolution of GreyOrange's Multi-Agent Path Finding (MAPF) algorithm. You'll define architectural direction, integrate machine learning techniques, and build the core capabilities required to achieve state-of-the-art and scalable navigation. Key Responsibilities Define the technical roadmap to push performance and scale in navigation Lead design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring. Own production deployment of ML/RL models using MLOps tools such as Vertex AI or similar platforms. Integrate ML pipelines with robotic orchestration engines to support continuous learning and adaptation. Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges. Required Qualifications Education: M.S/Ph.D in Computer Science, AI/ML, or a related field. Experience: 10+ years of total experience in academia or industry. Technical Expertise Strong knowledge of path planning, graph search algorithms, and optimization techniques for multi-agent systems. Deep understanding of machine learning, deep learning, and reinforcement learning Experience using TensorFlow or PyTorch. Proven experience in building, deploying, and maintaining ML models in production environments. Hands-on experience with MLOps, including CI/CD for models, pipeline orchestration, and model monitoring. Proficiency in Python. Familiarity with Erlang, Elixir, or other concurrency-first functional programming languages is good to have. Solid understanding of concurrency, parallelism, and real-time systems. Strong CS fundamentals including algorithms, operating systems, networking, memory management, and performance tuning. Experience with distributed systems, microservices, and containerized deployments using Docker and Kubernetes. Knowledge of event-driven architectures Familiarity with cloud platforms such as Google Cloud Platform (GCP), and specifically Vertex AI. (Nice to Have) - Contributions to open-source projects, research publications, or patents in MAPF, RL, or distributed AI systems. EEO GreyOrange provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Seniority level Director Employment type Full-time Job function Software Development and Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at GreyOrange by 2x Get notified about new Architect jobs in San Francisco Bay Area.
04/02/2026
Full time
5 days ago Be among the first 25 applicants Direct message the job poster from GreyOrange I help you crack the Talent code Redefining HR Location: SF, Redwood City CA Range: $225,000 - $265,000 About GreyOrange GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide. Our solutions increase productivity, empower growth and scale, mitigate labor challenges, reduce risk and time to market, and create better experiences for customers and employees. Founded in 2012, GreyOrange is headquartered in Atlanta, Georgia, with offices and partners across the Americas, Europe and Asia. Our Solutions The GreyMatter Multiagent Orchestration (MAO) platform provides vendor-agnostic fulfillment orchestration to continuously optimize performance in real time: the right order, with the right bot and agent, taking the right path and action. Currently operating more than 70 fulfillment sites across the globe (with deployments of 700+ robots at a single site), GreyMatter enables customers to decrease their fulfillment Cost Per Unit by 50%, reduce worker onboarding time by 90% and optimize peak season performance. In retail stores, our gStore end-to-end store execution and retail management solution supports omnichannel fulfillment, real-time replenishment, intelligent workforce tasking and more. Using real-time overhead RFID technology, the platform increases inventory accuracy up to 99%, doubles staff productivity, and enables an engaging, seamless in-store experience. Job Overview As a Principal Architect, you will lead the design and evolution of GreyOrange's Multi-Agent Path Finding (MAPF) algorithm. You'll define architectural direction, integrate machine learning techniques, and build the core capabilities required to achieve state-of-the-art and scalable navigation. Key Responsibilities Define the technical roadmap to push performance and scale in navigation Lead design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring. Own production deployment of ML/RL models using MLOps tools such as Vertex AI or similar platforms. Integrate ML pipelines with robotic orchestration engines to support continuous learning and adaptation. Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges. Required Qualifications Education: M.S/Ph.D in Computer Science, AI/ML, or a related field. Experience: 10+ years of total experience in academia or industry. Technical Expertise Strong knowledge of path planning, graph search algorithms, and optimization techniques for multi-agent systems. Deep understanding of machine learning, deep learning, and reinforcement learning Experience using TensorFlow or PyTorch. Proven experience in building, deploying, and maintaining ML models in production environments. Hands-on experience with MLOps, including CI/CD for models, pipeline orchestration, and model monitoring. Proficiency in Python. Familiarity with Erlang, Elixir, or other concurrency-first functional programming languages is good to have. Solid understanding of concurrency, parallelism, and real-time systems. Strong CS fundamentals including algorithms, operating systems, networking, memory management, and performance tuning. Experience with distributed systems, microservices, and containerized deployments using Docker and Kubernetes. Knowledge of event-driven architectures Familiarity with cloud platforms such as Google Cloud Platform (GCP), and specifically Vertex AI. (Nice to Have) - Contributions to open-source projects, research publications, or patents in MAPF, RL, or distributed AI systems. EEO GreyOrange provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Seniority level Director Employment type Full-time Job function Software Development and Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at GreyOrange by 2x Get notified about new Architect jobs in San Francisco Bay Area.
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full-time software engineering experience (post-graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services). Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database-backed application development. Compensation & Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and 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 status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full-time software engineering experience (post-graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services). Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database-backed application development. Compensation & Benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and 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 status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool use orchestration, GUI/computer use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full time software engineering experience (post graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container based services). Demonstrated ability to ship quickly in ambiguous, fast changing environments (high growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and 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 status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
04/02/2026
Full time
The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. What You'll Do Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. Build scalable services and pipelines that support agent workflows (e.g., coding, tool use orchestration, GUI/computer use tasks), with strong reliability and observability. Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces. Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity. Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems. Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization. Raise the engineering bar through design reviews, code reviews, and pragmatic best practices. Ideal Experience 5+ years of full time software engineering experience (post graduation). Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability. Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container based services). Demonstrated ability to ship quickly in ambiguous, fast changing environments (high growth startup experience is a plus). Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar. Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued). Proficiency with SQL and modern database backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full time position in the locations of San Francisco, New York, Seattle is: $216,200 - $270,250 USD. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and 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 status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Job Summary At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. The Red Hat AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state of the art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop state of the art deep learning software. You will collaborate with technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. This role is for those who enjoy bridging research and production, optimizing large models, and contributing to open source AI tooling. Responsibilities Contribute to the design, development, and testing of various inference optimization algorithms in the LLM compressor, Speculators, and vLLM projects. Design, implement, and optimize model compression pipelines using techniques such as quantization and pruning. Develop and maintain speculative decoding frameworks to improve inference speed while maintaining model accuracy. Collaborate closely with research scientists to translate experimental ideas into robust, production ready systems. Profile and optimize end to end LLM performance, including memory usage, latency, and throughput. Benchmark, evaluate, and implement strategies for optimal performance on target hardware. Build tools to streamline model training, evaluation, and deployment. Participate in technical design discussions and propose innovative solutions to complex problems. Contribute to open source projects, code reviews, and documentation; collaborate with internal and external contributors. Mentor and guide team members, fostering a culture of continuous learning and innovation. Stay current with LLM architectures, inference optimizations, quantization research, and CPU/GPU hardware advancements. Qualifications Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM inference optimizations and NLP. Experience with tensor math libraries such as PyTorch and NumPy. Strong programming skills with proven experience implementing Python based machine learning solutions. Ability to develop and implement research ideas and algorithms. Experience with mathematical software, especially linear algebra. Understanding of linear algebra, gradients, probability, and graph theory. Strong communication skills with both technical and non technical team members. BS or MS in computer science, computer engineering, or a related field. A PhD in an ML related domain is considered a strong plus. Benefits Comprehensive medical, dental, and vision coverage; Flexible Spending Account; Health Savings Account; Retirement 401(k) with employer match; Paid time off and holidays; Paid parental leave; Leave benefits including disability, paid family medical leave, and paid military leave; Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more. (Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.) Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
04/02/2026
Full time
Job Summary At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. The Red Hat AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state of the art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop state of the art deep learning software. You will collaborate with technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. This role is for those who enjoy bridging research and production, optimizing large models, and contributing to open source AI tooling. Responsibilities Contribute to the design, development, and testing of various inference optimization algorithms in the LLM compressor, Speculators, and vLLM projects. Design, implement, and optimize model compression pipelines using techniques such as quantization and pruning. Develop and maintain speculative decoding frameworks to improve inference speed while maintaining model accuracy. Collaborate closely with research scientists to translate experimental ideas into robust, production ready systems. Profile and optimize end to end LLM performance, including memory usage, latency, and throughput. Benchmark, evaluate, and implement strategies for optimal performance on target hardware. Build tools to streamline model training, evaluation, and deployment. Participate in technical design discussions and propose innovative solutions to complex problems. Contribute to open source projects, code reviews, and documentation; collaborate with internal and external contributors. Mentor and guide team members, fostering a culture of continuous learning and innovation. Stay current with LLM architectures, inference optimizations, quantization research, and CPU/GPU hardware advancements. Qualifications Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM inference optimizations and NLP. Experience with tensor math libraries such as PyTorch and NumPy. Strong programming skills with proven experience implementing Python based machine learning solutions. Ability to develop and implement research ideas and algorithms. Experience with mathematical software, especially linear algebra. Understanding of linear algebra, gradients, probability, and graph theory. Strong communication skills with both technical and non technical team members. BS or MS in computer science, computer engineering, or a related field. A PhD in an ML related domain is considered a strong plus. Benefits Comprehensive medical, dental, and vision coverage; Flexible Spending Account; Health Savings Account; Retirement 401(k) with employer match; Paid time off and holidays; Paid parental leave; Leave benefits including disability, paid family medical leave, and paid military leave; Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more. (Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.) Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Overview This role has been designed as onsite with an expectation that you will primarily work from an HPE office. About Hewlett Packard Enterprise Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description The Senior Networking Software Engineer role designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including routers, networks, utilities, databases and Internet-related tools. Responsibilities Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of application; identifies and debugs, and creates solutions for issues with code and integration into application architecture. Work closely with cross-functional teams to define system requirements and specifications. Provides guidance and mentoring to less- experienced staff members. Participate on customer escalation calls and debugging Write and optimize code for performance, reliability, and memory usage Analyze and resolve issues during development and testing phases Education And Experience Required Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically 4-6 years experience. Knowledge And Skills Strong C, Python programming skills. Strong knowledge of Networking protocols, TCP/IP, and applications ARP, DHCP, FTP etc. Strong knowledge of switching and routing protocols Strong background in computer science/software engineering concepts including data structures, algorithms. Demonstrated abilities in designing robust and scalable applications in embedded and cloud Familiarity with Agile development methodologies and CI/CD environment Demonstrated abilities to work with QA and Remote Teams. Demonstrated abilities to prepare necessary Design Specifications, participate in Design and Code Reviews and work with Customer Support Teams for Customer Escalation Proficiency with version control tools like Git. Additional Skills Cloud Architectures Cross Domain Knowledge Design Thinking Development Fundamentals DevOps Distributed Computing Microservices Fluency Full Stack Development Security-First Mindset Solutions Design Testing & Automation User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected on Instagram to see the latest on people, culture and tech at HPE. Job Engineering Job Level TCP_04 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. - United States of America: Annual Salary USD 136,500 - 276,500 in California The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at Equal Employment Opportunity HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.
04/02/2026
Full time
Overview This role has been designed as onsite with an expectation that you will primarily work from an HPE office. About Hewlett Packard Enterprise Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description The Senior Networking Software Engineer role designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including routers, networks, utilities, databases and Internet-related tools. Responsibilities Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of application; identifies and debugs, and creates solutions for issues with code and integration into application architecture. Work closely with cross-functional teams to define system requirements and specifications. Provides guidance and mentoring to less- experienced staff members. Participate on customer escalation calls and debugging Write and optimize code for performance, reliability, and memory usage Analyze and resolve issues during development and testing phases Education And Experience Required Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically 4-6 years experience. Knowledge And Skills Strong C, Python programming skills. Strong knowledge of Networking protocols, TCP/IP, and applications ARP, DHCP, FTP etc. Strong knowledge of switching and routing protocols Strong background in computer science/software engineering concepts including data structures, algorithms. Demonstrated abilities in designing robust and scalable applications in embedded and cloud Familiarity with Agile development methodologies and CI/CD environment Demonstrated abilities to work with QA and Remote Teams. Demonstrated abilities to prepare necessary Design Specifications, participate in Design and Code Reviews and work with Customer Support Teams for Customer Escalation Proficiency with version control tools like Git. Additional Skills Cloud Architectures Cross Domain Knowledge Design Thinking Development Fundamentals DevOps Distributed Computing Microservices Fluency Full Stack Development Security-First Mindset Solutions Design Testing & Automation User Experience (UX) What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected on Instagram to see the latest on people, culture and tech at HPE. Job Engineering Job Level TCP_04 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. - United States of America: Annual Salary USD 136,500 - 276,500 in California The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at Equal Employment Opportunity HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. 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Accton Technology Corporation, founded in 1988, is a leading networking hardware and solution provider. With more than three decades of experience, Accton specializes in the design and manufacturing of high-performance Ethernet switches, routers, and data center networking systems for top-tier global customers. Accton works closely with hyperscale and enterprise customers, providing deep engineering collaboration from early design through high-volume manufacturing. In the global AI race, computing power is no longer limited by silicon alone, it is highly defined by thermal management. As power density skyrockets, the ability to integrate advanced liquid cooling and optimize power consumption has become the ultimate competitive advantage for the world's leading data centers. As a global leader in AI networking and open Infrastructure, Accton architects the high-performance cooling solutions that make Hyperscale AI and Large Language Models (LLMs) a reality. We are looking for visionary engineers to join our San Jose team at the bleeding edge of system Integration, solving the thermal bottlenecks that empower the next generation of AI innovation. Role Overview We are seeking a System Architect to lead the engineering teams for data center equipment hardware development. A systems architect is a technology expert who develops and implements computer systems or networks for projects. He or she represents the architecture of a system to fulfill specific requirements. Defining the architecture could mean cutting down the system into components, setting component communications and interfaces, and settling on the technologies and resources to be used in the design. This position serves as a key technical interface between Accton's internal engineering teams and the R&D leadership teams, leading the system- and rack-level liquid cooling solutions, and other spear-heading the leading technologies from concept to reality. Responsibilities Understand the wanted business or strategy and outcome Decide on the best architecture to achieve what they have defined Break down those outcomes into determined parts, including products, processes, and functions Advise project teams on implementing their suggested solutions Understand software, hardware, and user communications, integrations, and interfaces Qualifications Bachelor's degree (master's preferred) in Electrical Engineering, preferably with a focus on system level architecture in computing and/or networking equipment disciplines Solid understanding of thermal engineering fundamentals, including: Computing servers Electrical/Optical transceivers Signal integrity and SerDes Thermal cooling Ability to understand and work with complex systems (e.g., racks, CDU, liquid cooling loops) Familiarity with lab environments and system level and thermal/fluid testing Strong engineering problem-solving skills, with the ability to identify root causes using theory, test data, and observations Exposure to or experience with liquid cooling systems (component or system level) is a plus Rack integration experience is a plus, but not required Self-motivated, customer-oriented, and comfortable working in on-site environments Good communication skills and ability to collaborate across cross-functional teams Team players who are able to work with people from diverse backgrounds Medical, Dental, and Vision Insurance Life, AD&D, Short Term Disability, and Long-Term Disability insurance HSA, Health Care FSA Employee Assistance Program, Wellbeing Resources, Caregiver Support, Commuter Benefits Adoption Assistance Training & Development Online Courses Vacation and Sick Leave Paid holidays Perks at Work Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Computer Networking Products
04/02/2026
Full time
Accton Technology Corporation, founded in 1988, is a leading networking hardware and solution provider. With more than three decades of experience, Accton specializes in the design and manufacturing of high-performance Ethernet switches, routers, and data center networking systems for top-tier global customers. Accton works closely with hyperscale and enterprise customers, providing deep engineering collaboration from early design through high-volume manufacturing. In the global AI race, computing power is no longer limited by silicon alone, it is highly defined by thermal management. As power density skyrockets, the ability to integrate advanced liquid cooling and optimize power consumption has become the ultimate competitive advantage for the world's leading data centers. As a global leader in AI networking and open Infrastructure, Accton architects the high-performance cooling solutions that make Hyperscale AI and Large Language Models (LLMs) a reality. We are looking for visionary engineers to join our San Jose team at the bleeding edge of system Integration, solving the thermal bottlenecks that empower the next generation of AI innovation. Role Overview We are seeking a System Architect to lead the engineering teams for data center equipment hardware development. A systems architect is a technology expert who develops and implements computer systems or networks for projects. He or she represents the architecture of a system to fulfill specific requirements. Defining the architecture could mean cutting down the system into components, setting component communications and interfaces, and settling on the technologies and resources to be used in the design. This position serves as a key technical interface between Accton's internal engineering teams and the R&D leadership teams, leading the system- and rack-level liquid cooling solutions, and other spear-heading the leading technologies from concept to reality. Responsibilities Understand the wanted business or strategy and outcome Decide on the best architecture to achieve what they have defined Break down those outcomes into determined parts, including products, processes, and functions Advise project teams on implementing their suggested solutions Understand software, hardware, and user communications, integrations, and interfaces Qualifications Bachelor's degree (master's preferred) in Electrical Engineering, preferably with a focus on system level architecture in computing and/or networking equipment disciplines Solid understanding of thermal engineering fundamentals, including: Computing servers Electrical/Optical transceivers Signal integrity and SerDes Thermal cooling Ability to understand and work with complex systems (e.g., racks, CDU, liquid cooling loops) Familiarity with lab environments and system level and thermal/fluid testing Strong engineering problem-solving skills, with the ability to identify root causes using theory, test data, and observations Exposure to or experience with liquid cooling systems (component or system level) is a plus Rack integration experience is a plus, but not required Self-motivated, customer-oriented, and comfortable working in on-site environments Good communication skills and ability to collaborate across cross-functional teams Team players who are able to work with people from diverse backgrounds Medical, Dental, and Vision Insurance Life, AD&D, Short Term Disability, and Long-Term Disability insurance HSA, Health Care FSA Employee Assistance Program, Wellbeing Resources, Caregiver Support, Commuter Benefits Adoption Assistance Training & Development Online Courses Vacation and Sick Leave Paid holidays Perks at Work Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Computer Networking Products
About the Company: World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone. About the Security team: Well beyond "regular company security" the goal of security at Tools For Humanity is to enable the World project to build a global network that can be trusted by all parties. The security team is central to the success of the company and the World protocol. It must navigate complex systems while delivering the state-of-the-art in hardware and software security. The team of 15+ engineers helps guide, blockchain, device, cloud, mobile and application security across all of our technologies. For example, it works with engineering teams that are designing novel new zero knowledge proofs and cryptographic solutions (such as AMPC) that enable the World network. As a global network that enables identity, financial, and community services the team must consider a wide range of threats that span tampering with devices, visual spoofing of devices, in-person attempts to commit fraud, and traditional web / cloud services security. The team must work closely with fraud and data science teams to design systems to detect potential abuse while maintaining privacy and security for users. About the Role: In this role, you'll join a passionate team tackling complex security challenges throughout our product lifecycle. As a key architect of our security strategy, you'll ensure robust measures are integrated into every product from conception to deployment. You'll leverage your expertise to assess risks, influence product design decisions, and serve as a trusted advisor to development teams. Through strategic insight and collaborative problem-solving, you'll help evolve our application security program, making a lasting impact on how we protect our products and stay ahead of threats. You will: Perform threat modeling to identify risks in the design of new products and drive their mitigation. Architect and implement security solutions to mitigate identified risks. Work closely with engineering teams to integrate security into the development lifecycle. Identify vulnerabilities through code reviews and penetration testing, and drive their remediation. Improve and build, such as scanners and implementation of secure defaults, to scale our application security program. Manage and contribute to the continuous improvement of the World bug bounty program. Work with stakeholders across the company to advocate for security best practices through training and outreach. About you At least 5 years of experience in web, mobile, application or blockchain security. Ability to understand and critically think about application and system architectures holistically. Expertise in performing threat modeling to systematically assess risks and architect mitigations that align with both technical and business goals. Strong understanding of state-of-the-art authentication protocols, cryptographic principles, identity management, and data protection mechanisms. Proficiency developing in one or more programming languages (e.g. Python, Typescript, Go). Experience communicating effectively with technical, non-technical and executive-level audiences. Desire to work in a high growth and high speed environment that is truly trying to change the world. Nice to have: Background in software engineering or computer science. Experience developing or securing mobile applications for iOS or Android. Familiarity with blockchain fundamentals or experience auditing or writing smart contracts. What we offer The reasonably estimated salary for this role at Tools for Humanity ranges from $272,000 to $320,000, plus a competitive long-term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Tools for Humanity offers a wide range of best-in-class, comprehensive, and inclusive employee benefits for this role, including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend, and much more. By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR. If you don't think you meet all of the criteria but are still interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
04/02/2026
Full time
About the Company: World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone. About the Security team: Well beyond "regular company security" the goal of security at Tools For Humanity is to enable the World project to build a global network that can be trusted by all parties. The security team is central to the success of the company and the World protocol. It must navigate complex systems while delivering the state-of-the-art in hardware and software security. The team of 15+ engineers helps guide, blockchain, device, cloud, mobile and application security across all of our technologies. For example, it works with engineering teams that are designing novel new zero knowledge proofs and cryptographic solutions (such as AMPC) that enable the World network. As a global network that enables identity, financial, and community services the team must consider a wide range of threats that span tampering with devices, visual spoofing of devices, in-person attempts to commit fraud, and traditional web / cloud services security. The team must work closely with fraud and data science teams to design systems to detect potential abuse while maintaining privacy and security for users. About the Role: In this role, you'll join a passionate team tackling complex security challenges throughout our product lifecycle. As a key architect of our security strategy, you'll ensure robust measures are integrated into every product from conception to deployment. You'll leverage your expertise to assess risks, influence product design decisions, and serve as a trusted advisor to development teams. Through strategic insight and collaborative problem-solving, you'll help evolve our application security program, making a lasting impact on how we protect our products and stay ahead of threats. You will: Perform threat modeling to identify risks in the design of new products and drive their mitigation. Architect and implement security solutions to mitigate identified risks. Work closely with engineering teams to integrate security into the development lifecycle. Identify vulnerabilities through code reviews and penetration testing, and drive their remediation. Improve and build, such as scanners and implementation of secure defaults, to scale our application security program. Manage and contribute to the continuous improvement of the World bug bounty program. Work with stakeholders across the company to advocate for security best practices through training and outreach. About you At least 5 years of experience in web, mobile, application or blockchain security. Ability to understand and critically think about application and system architectures holistically. Expertise in performing threat modeling to systematically assess risks and architect mitigations that align with both technical and business goals. Strong understanding of state-of-the-art authentication protocols, cryptographic principles, identity management, and data protection mechanisms. Proficiency developing in one or more programming languages (e.g. Python, Typescript, Go). Experience communicating effectively with technical, non-technical and executive-level audiences. Desire to work in a high growth and high speed environment that is truly trying to change the world. Nice to have: Background in software engineering or computer science. Experience developing or securing mobile applications for iOS or Android. Familiarity with blockchain fundamentals or experience auditing or writing smart contracts. What we offer The reasonably estimated salary for this role at Tools for Humanity ranges from $272,000 to $320,000, plus a competitive long-term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Tools for Humanity offers a wide range of best-in-class, comprehensive, and inclusive employee benefits for this role, including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend, and much more. By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR. If you don't think you meet all of the criteria but are still interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. Responsibilities Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready". Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. The expected base pay range for this position is: Bay Area, CA: $197,000 - $266,500.
04/02/2026
Full time
Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a vibrant team of data scientists. You'll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. Responsibilities Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready". Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Qualifications BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. The expected base pay range for this position is: Bay Area, CA: $197,000 - $266,500.
Intuit is seeking a highly motivated and experienced Principal Machine Learning Engineer to join our Mid Market AI team. In this influential role, you will lead the design, development, and deployment of end-to-end AI/ML solutions that power the next generation of intelligent features across Intuit's financial products. You will shape strategy, drive innovation, and scale impactful solutions that deliver measurable value to our customers. Responsibilities Technical Leadership: Define and own AI strategy and ML platform architecture, setting a multi-year technical roadmap. End-to-End ML Systems: Lead the full lifecycle of ML solutions-from data curation and model training to robust deployment and monitoring in production. Cutting-Edge AI Applications: Apply state-of-the-art technologies such as Large Language Models (LLMs) and Multimodal Language Models to solve complex business. Innovation & Prototyping: Accelerate experimentation by building rapid prototypes and scaling successful solutions to production. Mentorship: Provide technical guidance to junior engineers, foster a culture of technical excellence, and champion operational rigor. Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to deliver solutions that drive customer success. Qualifications Master's or Ph.D. in Computer Science or a related field with a focus on AI/ML or equivalent experience. 10+ years of experience developing and deploying production-level ML. Expertise in programming languages such as Python, Java, or Scala. Proficiency with modern ML frameworks (TensorFlow, PyTorch). Strong foundation in computer science fundamentals (data structures, algorithms, distributed systems). Proven communication and leadership skills to influence technical direction and engage both technical and non-technical stakeholders. Compensation & Benefits Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Expected base pay range for this position: Bay Area California: 254,500 - 344,000
04/02/2026
Full time
Intuit is seeking a highly motivated and experienced Principal Machine Learning Engineer to join our Mid Market AI team. In this influential role, you will lead the design, development, and deployment of end-to-end AI/ML solutions that power the next generation of intelligent features across Intuit's financial products. You will shape strategy, drive innovation, and scale impactful solutions that deliver measurable value to our customers. Responsibilities Technical Leadership: Define and own AI strategy and ML platform architecture, setting a multi-year technical roadmap. End-to-End ML Systems: Lead the full lifecycle of ML solutions-from data curation and model training to robust deployment and monitoring in production. Cutting-Edge AI Applications: Apply state-of-the-art technologies such as Large Language Models (LLMs) and Multimodal Language Models to solve complex business. Innovation & Prototyping: Accelerate experimentation by building rapid prototypes and scaling successful solutions to production. Mentorship: Provide technical guidance to junior engineers, foster a culture of technical excellence, and champion operational rigor. Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to deliver solutions that drive customer success. Qualifications Master's or Ph.D. in Computer Science or a related field with a focus on AI/ML or equivalent experience. 10+ years of experience developing and deploying production-level ML. Expertise in programming languages such as Python, Java, or Scala. Proficiency with modern ML frameworks (TensorFlow, PyTorch). Strong foundation in computer science fundamentals (data structures, algorithms, distributed systems). Proven communication and leadership skills to influence technical direction and engage both technical and non-technical stakeholders. Compensation & Benefits Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Expected base pay range for this position: Bay Area California: 254,500 - 344,000
Lawrence Berkeley National Laboratory
San Francisco, California
Lawrence Berkeley National Laboratory (LBNL) relies on an extensive network of Energy Management and Control Systems (EMCS) to operate its campus-supporting building and energy management, lighting and safety, HVAC control, and critical alarm notifications essential to scientific programs. As part of LBNL's Facilities Engineering Team, the Control Systems Engineer (CSE) will design, manage, and maintain these systems to ensure reliability, availability, and security. Responsibilities include troubleshooting controllers and networks, performing IT and database maintenance, and managing energy and facility monitoring systems. The CSE will also support capital projects through design review, oversight, and contractor coordination. The CSE 3 will lead energy management, HVAC, and control system retrofit projects across multiple occupied facilities, requiring sound judgment in implementing complex process control modifications with minimal supervision. Duties include planning and executing independent work, overseeing system design and commissioning, managing system life cycles, and training users. The role demands technical expertise, creative problem solving, and a focus on reliable, maintainable, and energy efficient designs that ensure long term value. We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! You will, at Level 3: Identify and implement strategies using building automation and lighting controls to enhance energy efficiency and building operability. Develop and implement detailed control sequences and engineering solutions across multiple concurrent projects. Prepare analyses, designs, construction documents, cost estimates, and maintenance plans aligned with institutional requirements. Support construction activities through controls programming, commissioning, and system performance verification. Maintain equipment documentation, databases, and preventive maintenance procedures for HVAC and control systems. Review and provide feedback on control drawings, design documents, and RFIs related to building and energy management systems. Conduct facility studies, including field measurements, retrofit cost and life cycle analyses, and project reporting. Inspect HVAC and control installations; participate in functional performance testing and commissioning. Plan, schedule, and coordinate engineering work to meet project scope, budget, and performance goals. Ensure design compliance with Federal, DOE, State, and industry codes and standards. Use AutoCAD and related software to update, verify, and generate control system drawings, specifications, and documentation. Provide direction to internal crafts for system installation and modifications; review HVAC and controls submittals. Collaborate with internal and external partners (e.g., EH&S, Sustainable Berkeley Lab, UC, DOE) and attend meetings throughout design, construction, commissioning, and closeout phases. In Additional to Above, at Level 4: Identify and implement strategies using building automation and lighting controls to improve energy efficiency and building operability. Performs, oversees, or leads the production of studies in existing facilities including preparation of project proposals, developing project performance methodologies, conducting field measurements of variables, developing proposed modifications, retrofit cost estimation, life cycle cost analysis, and preparation of project reports. Additional Responsibilities as needed: Participates in other related activities as directed by the Lead Energy Management Engineer or Matrix Supervisor. May include complex tasks such as resolving conflicting design requirements, unsuitability of conventional materials, difficult coordination requirements, and value engineering. Minimum Qualifications Level 3: A Bachelor's degree in mechanical engineering, electrical, or control systems engineering or related discipline from an accredited college or university and a minimum of five (5) years experience, or 9 years minimum for a combination of education and/or experience. Demonstrated experience working on control system retrofit projects from design through completion. Experience interfacing with electrical, mechanical, and/or control systems contractors. Proven relevant experience designing automatic control systems as applied to wet/dry laboratories, clean rooms, cold rooms, shops, office facilities, manufacturing, or similar. Experience in HVAC and lighting control system design and construction, preferably with experience in existing building retrofit projects. Experience coordinating the work of other engineering/design disciplines and trades personnel. Proficient in Automated Logic (ALC) WebCTRL, Johnson Controls, Inc. Metasys, computer aided drafting software, latest generation lighting controls, and data analysis. Possesses a working knowledge of computerized planning and control methods. Demonstrates a thorough knowledge of engineering concepts, systems, calculations, applications, energy measurement, and construction methods, materials and economics. Applicable regulatory and industry safety codes and environmental regulations pertinent to controls engineering and construction. Federal, Department of Energy, and State of California energy efficiency codes. BACnet building automation system architecture, communications and operating sequences. HVAC system and energy management fundamentals. Demonstrates a specialized knowledge in automatic controls design, programming; construction support; and system performance verification. Familiar with reviewing MEP Design drawings to correlate design to the space, ability to understand sheet/general notes and how they affect the design. Demonstrated experience and ability in applying analytical and problem solving skills to complex problems. Demonstrates the ability to portray construction work on drawings that meet functional requirements, are complete, well organized, technically correct, require minimal rework to obtain supervisory signoff, and result in a minimum of construction craft requests for information and change orders. Familiar with some of the industry wide energy management and control systems such as Automated Logic Corporation (ALC) and Johnson Controls Metasys or other industry standard systems. Familiar with navigating through front end lighting controls and their integration with other systems. Demonstrates the ability to commission and troubleshoot controls systems software programming, communications networks, controllers, and devices. Excellent planning, prioritization, and organizational skills to manage multiple projects at once. Excellent proposal development, presentation, and client relationship skills. Demonstrates the ability to effectively communicate verbally and in writing with a wide range of groups and individuals. Excellent collaboration and interpersonal skills with a customer focused and ability to effectively interact with people at all levels, internal and external to the organization. Ability to work independently and as part of a team with various professional and educational backgrounds. Additional Minimum Qualifications Level 4: A Bachelor's degree in mechanical engineering, electrical, or control systems engineering or related discipline from an accredited college or university and a minimum of eight (8) years experience, or a minimum 12 years combination of education and/or experience. Proven substantial relevant experience designing automatic control systems as applied to wet/dry laboratories, clean rooms, cold rooms, shops, office facilities, manufacturing, or similar. Desired skills/knowledge: Advanced degree in related area(s). Experience with Automated Logic WebCTRL building automation systems. Experience in electrical systems sufficient to meet pre requisite of LBNL Qualified Electrical Worker 1 training. PE license in mechanical, electrical, or control system engineering. Professional certification in energy management or related area(s). Additional information: Applications will be accepted until the job posting is removed. Appointment type: This is a full time, Career appointment. Salary range: Level 3: The expected salary for this position is $126,000 - $140,000, which fits into the full salary of $123,084 - $207,672 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience. Level 4: The expected salary for this position is $177,000 - $198,000, which fits into the full salary of $147,720 - $249,276 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience. Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work modality: This position is eligible for a hybrid work . click apply for full job details
04/02/2026
Full time
Lawrence Berkeley National Laboratory (LBNL) relies on an extensive network of Energy Management and Control Systems (EMCS) to operate its campus-supporting building and energy management, lighting and safety, HVAC control, and critical alarm notifications essential to scientific programs. As part of LBNL's Facilities Engineering Team, the Control Systems Engineer (CSE) will design, manage, and maintain these systems to ensure reliability, availability, and security. Responsibilities include troubleshooting controllers and networks, performing IT and database maintenance, and managing energy and facility monitoring systems. The CSE will also support capital projects through design review, oversight, and contractor coordination. The CSE 3 will lead energy management, HVAC, and control system retrofit projects across multiple occupied facilities, requiring sound judgment in implementing complex process control modifications with minimal supervision. Duties include planning and executing independent work, overseeing system design and commissioning, managing system life cycles, and training users. The role demands technical expertise, creative problem solving, and a focus on reliable, maintainable, and energy efficient designs that ensure long term value. We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! You will, at Level 3: Identify and implement strategies using building automation and lighting controls to enhance energy efficiency and building operability. Develop and implement detailed control sequences and engineering solutions across multiple concurrent projects. Prepare analyses, designs, construction documents, cost estimates, and maintenance plans aligned with institutional requirements. Support construction activities through controls programming, commissioning, and system performance verification. Maintain equipment documentation, databases, and preventive maintenance procedures for HVAC and control systems. Review and provide feedback on control drawings, design documents, and RFIs related to building and energy management systems. Conduct facility studies, including field measurements, retrofit cost and life cycle analyses, and project reporting. Inspect HVAC and control installations; participate in functional performance testing and commissioning. Plan, schedule, and coordinate engineering work to meet project scope, budget, and performance goals. Ensure design compliance with Federal, DOE, State, and industry codes and standards. Use AutoCAD and related software to update, verify, and generate control system drawings, specifications, and documentation. Provide direction to internal crafts for system installation and modifications; review HVAC and controls submittals. Collaborate with internal and external partners (e.g., EH&S, Sustainable Berkeley Lab, UC, DOE) and attend meetings throughout design, construction, commissioning, and closeout phases. In Additional to Above, at Level 4: Identify and implement strategies using building automation and lighting controls to improve energy efficiency and building operability. Performs, oversees, or leads the production of studies in existing facilities including preparation of project proposals, developing project performance methodologies, conducting field measurements of variables, developing proposed modifications, retrofit cost estimation, life cycle cost analysis, and preparation of project reports. Additional Responsibilities as needed: Participates in other related activities as directed by the Lead Energy Management Engineer or Matrix Supervisor. May include complex tasks such as resolving conflicting design requirements, unsuitability of conventional materials, difficult coordination requirements, and value engineering. Minimum Qualifications Level 3: A Bachelor's degree in mechanical engineering, electrical, or control systems engineering or related discipline from an accredited college or university and a minimum of five (5) years experience, or 9 years minimum for a combination of education and/or experience. Demonstrated experience working on control system retrofit projects from design through completion. Experience interfacing with electrical, mechanical, and/or control systems contractors. Proven relevant experience designing automatic control systems as applied to wet/dry laboratories, clean rooms, cold rooms, shops, office facilities, manufacturing, or similar. Experience in HVAC and lighting control system design and construction, preferably with experience in existing building retrofit projects. Experience coordinating the work of other engineering/design disciplines and trades personnel. Proficient in Automated Logic (ALC) WebCTRL, Johnson Controls, Inc. Metasys, computer aided drafting software, latest generation lighting controls, and data analysis. Possesses a working knowledge of computerized planning and control methods. Demonstrates a thorough knowledge of engineering concepts, systems, calculations, applications, energy measurement, and construction methods, materials and economics. Applicable regulatory and industry safety codes and environmental regulations pertinent to controls engineering and construction. Federal, Department of Energy, and State of California energy efficiency codes. BACnet building automation system architecture, communications and operating sequences. HVAC system and energy management fundamentals. Demonstrates a specialized knowledge in automatic controls design, programming; construction support; and system performance verification. Familiar with reviewing MEP Design drawings to correlate design to the space, ability to understand sheet/general notes and how they affect the design. Demonstrated experience and ability in applying analytical and problem solving skills to complex problems. Demonstrates the ability to portray construction work on drawings that meet functional requirements, are complete, well organized, technically correct, require minimal rework to obtain supervisory signoff, and result in a minimum of construction craft requests for information and change orders. Familiar with some of the industry wide energy management and control systems such as Automated Logic Corporation (ALC) and Johnson Controls Metasys or other industry standard systems. Familiar with navigating through front end lighting controls and their integration with other systems. Demonstrates the ability to commission and troubleshoot controls systems software programming, communications networks, controllers, and devices. Excellent planning, prioritization, and organizational skills to manage multiple projects at once. Excellent proposal development, presentation, and client relationship skills. Demonstrates the ability to effectively communicate verbally and in writing with a wide range of groups and individuals. Excellent collaboration and interpersonal skills with a customer focused and ability to effectively interact with people at all levels, internal and external to the organization. Ability to work independently and as part of a team with various professional and educational backgrounds. Additional Minimum Qualifications Level 4: A Bachelor's degree in mechanical engineering, electrical, or control systems engineering or related discipline from an accredited college or university and a minimum of eight (8) years experience, or a minimum 12 years combination of education and/or experience. Proven substantial relevant experience designing automatic control systems as applied to wet/dry laboratories, clean rooms, cold rooms, shops, office facilities, manufacturing, or similar. Desired skills/knowledge: Advanced degree in related area(s). Experience with Automated Logic WebCTRL building automation systems. Experience in electrical systems sufficient to meet pre requisite of LBNL Qualified Electrical Worker 1 training. PE license in mechanical, electrical, or control system engineering. Professional certification in energy management or related area(s). Additional information: Applications will be accepted until the job posting is removed. Appointment type: This is a full time, Career appointment. Salary range: Level 3: The expected salary for this position is $126,000 - $140,000, which fits into the full salary of $123,084 - $207,672 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience. Level 4: The expected salary for this position is $177,000 - $198,000, which fits into the full salary of $147,720 - $249,276 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience. Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work modality: This position is eligible for a hybrid work . click apply for full job details
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. PandoLogic. Category:General, Location:San Francisco, CA-94151
04/02/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. PandoLogic. Category:General, Location:San Francisco, CA-94151
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation.
04/02/2026
Full time
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose). Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Customer Success - Project Management - Data Analytics - IT Support - Business Operations - Network Security & Support Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation.
Software Developer - WMS At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. Visit to learn more. This role will report to Technical Lead, WMS. When you say YES to somet hing bigger: • Premium Free Hubber-Health Insurance • TireHub funded Health Savings Account • Additional benefit options including TireHub paid short/long term disability and life insurance benefits • Paid vacation and holidays • Parental leave programs • Build your financial future with 401(k) including TireHub match • Access to tire discounts, perks, and so much more! • Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special events and more. The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: WMS Development & Configuration: Plans, designs, builds, and test WMS solutions using Agile/Scrum methodology. Configures new distribution centers and site-specific workflows. Creates WMS processes that improve transparency, governance, and simplicity. Develops complex T-SQL queries, stored procedures, and scripts. System Integration & Data Management: Partners with IT teams to integrate WMS with middleware and enterprise applications. Develops reporting solutions using Bartender, SSRS, and Power BI. Maintains WMS data architecture to ensure accuracy and accessibility. Change Management & Environment Support: Executes WMS change management across development, test and production environments. Follows change control and documentation protocols. Supports smooth deployment of releases and enhancements. Production Support & Troubleshooting: Provides third-level WMS support for outages, failures, and escalated issues. Troubleshoots complex problems, performs rout cause analysis, and implements preventive measures. Supports rapid recovery to minimize operational downtime. Implementation & Rollout: Supports WMS implementation for new warehouse sites. Leads HyperCare during and after go-live. Coordinates with vendor teams and conduct readiness and post-implementation reviews. Team Leadership & Training: Provides guidance, training, and tactical direction to WMS support team members. Cross-trains team members on middleware connectivity for end-to-end troubleshooting. Develops documentation and training materials. Change Management & Environment Support: Analyzes warehouse operations and identify WMS improvement opportunities. Translates business requirements into technical solutions. Implements enhancements that increase efficiency and reduce cost. Professional Development & Compliance: Ensures individual person adherence to TireHub policies, procedures, and guidelines. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules as assigned. Completes other tasks assigned by their Leader and/or another member of Senior Leadership, as requested. Competencies: Communication: This role requires strong communication skills and the ability to collaborate effectively across all organizational levels-from technical teams to executive leadership. Agility and Adaptability: Thrive in a dynamic environment and embrace new methodologies. Problem-Solving : Advanced analytical and critical thinking skills to identify, diagnose, and resolve technical issues efficiently. Optimizes Work Processes: Identifies and implements the most effective and efficient processes to accomplish tasks, with a focus on continuous improvement and operational excellence. Collaborates: Builds strong partnerships and works collaboratively with others to achieve shared objectives and to research, experiment, and benchmark advanced analytical, data science, and ML/AI methods and technologies. Customer Focus: Understands and develops relationships with customers to take advantage of Actionable "Yes" moments. Delivers customer-centric solutions. Keeps promises to our customers. Leads team that delivers exceptional service. Education/Experience: Bachelor's degree in Supply Chain, Logistics, Engineering, or equivalent work experience. Strong knowledge of WMS process flows (picking, packing and replenishment, waving, receiving, put away, and RF technology). Applied experience with Koerber/High Jump is preferred. 3+ years of SQL development experience (code, procedures, tables, views, and extracts). 1+ years of reporting experience using SSRS, Power BI, or similar reporting tools. Required Knowledge, Skills, and Abilities: WMS functionality, configuration, and process flows. SQL Server, relational databases, and T-SQL programming. Distribution center operations, inventory management, and supply chain fundamentals. Systems integration concepts and middleware connectivity. Reporting and analytics concepts (SSRS, Power BI). Advanced T-SQL development and database object creation. WMS configuration and customization. Troubleshooting and root cause analysis. Strong technical documentation skills. Effective communication with technical and non-technical audiences. Ability to manage multiple priorities in a fast-paced environment. Learning agility and ability to adopt new technologies. Preferred Knowledge, Skills, and Abilities: Koerber/HighJump modules, configuration frameworks. Automated warehouse systems (conveyors, AS/RS, sortation). Distribution center optimization and emerging supply chain technologies. Agile/Scrum practices and ceremonies. Bartender label design. Advanced Power BI and DAX. Change management and user adoption strategies. Vendor relationship management. Strategic WMS alignment to business goals. Multi-site or geographically dispersed operations. Tire distribution or automotive aftermarket experience. Experience with WMS implementations and new DC startups. Certifications: Koerber/HighJump APICS/ASCM (CSCP, CLTD). Microsoft SQL Server or Power BI certifications. Work Environment: This is a fast-paced IT and dynamic operating environment. Majority of time is spent sitting, constantly viewing monitors in a comfortable position with frequent opportunity to move around. There may be occasions to move or lift light articles. Must be able to work flexible hours to accommodate routinely critical system changes. This is a remote position, preferably based in Atlanta GA, with flexibility to report to Headquarters as needed. Must be able to travel up to 10%. Salary Range: $83,100 - $103,800
01/14/2026
Full time
Software Developer - WMS At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. Visit to learn more. This role will report to Technical Lead, WMS. When you say YES to somet hing bigger: • Premium Free Hubber-Health Insurance • TireHub funded Health Savings Account • Additional benefit options including TireHub paid short/long term disability and life insurance benefits • Paid vacation and holidays • Parental leave programs • Build your financial future with 401(k) including TireHub match • Access to tire discounts, perks, and so much more! • Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special events and more. The individual must exhibit the following core attributes of the TireHub commitment: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we do not give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: WMS Development & Configuration: Plans, designs, builds, and test WMS solutions using Agile/Scrum methodology. Configures new distribution centers and site-specific workflows. Creates WMS processes that improve transparency, governance, and simplicity. Develops complex T-SQL queries, stored procedures, and scripts. System Integration & Data Management: Partners with IT teams to integrate WMS with middleware and enterprise applications. Develops reporting solutions using Bartender, SSRS, and Power BI. Maintains WMS data architecture to ensure accuracy and accessibility. Change Management & Environment Support: Executes WMS change management across development, test and production environments. Follows change control and documentation protocols. Supports smooth deployment of releases and enhancements. Production Support & Troubleshooting: Provides third-level WMS support for outages, failures, and escalated issues. Troubleshoots complex problems, performs rout cause analysis, and implements preventive measures. Supports rapid recovery to minimize operational downtime. Implementation & Rollout: Supports WMS implementation for new warehouse sites. Leads HyperCare during and after go-live. Coordinates with vendor teams and conduct readiness and post-implementation reviews. Team Leadership & Training: Provides guidance, training, and tactical direction to WMS support team members. Cross-trains team members on middleware connectivity for end-to-end troubleshooting. Develops documentation and training materials. Change Management & Environment Support: Analyzes warehouse operations and identify WMS improvement opportunities. Translates business requirements into technical solutions. Implements enhancements that increase efficiency and reduce cost. Professional Development & Compliance: Ensures individual person adherence to TireHub policies, procedures, and guidelines. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules as assigned. Completes other tasks assigned by their Leader and/or another member of Senior Leadership, as requested. Competencies: Communication: This role requires strong communication skills and the ability to collaborate effectively across all organizational levels-from technical teams to executive leadership. Agility and Adaptability: Thrive in a dynamic environment and embrace new methodologies. Problem-Solving : Advanced analytical and critical thinking skills to identify, diagnose, and resolve technical issues efficiently. Optimizes Work Processes: Identifies and implements the most effective and efficient processes to accomplish tasks, with a focus on continuous improvement and operational excellence. Collaborates: Builds strong partnerships and works collaboratively with others to achieve shared objectives and to research, experiment, and benchmark advanced analytical, data science, and ML/AI methods and technologies. Customer Focus: Understands and develops relationships with customers to take advantage of Actionable "Yes" moments. Delivers customer-centric solutions. Keeps promises to our customers. Leads team that delivers exceptional service. Education/Experience: Bachelor's degree in Supply Chain, Logistics, Engineering, or equivalent work experience. Strong knowledge of WMS process flows (picking, packing and replenishment, waving, receiving, put away, and RF technology). Applied experience with Koerber/High Jump is preferred. 3+ years of SQL development experience (code, procedures, tables, views, and extracts). 1+ years of reporting experience using SSRS, Power BI, or similar reporting tools. Required Knowledge, Skills, and Abilities: WMS functionality, configuration, and process flows. SQL Server, relational databases, and T-SQL programming. Distribution center operations, inventory management, and supply chain fundamentals. Systems integration concepts and middleware connectivity. Reporting and analytics concepts (SSRS, Power BI). Advanced T-SQL development and database object creation. WMS configuration and customization. Troubleshooting and root cause analysis. Strong technical documentation skills. Effective communication with technical and non-technical audiences. Ability to manage multiple priorities in a fast-paced environment. Learning agility and ability to adopt new technologies. Preferred Knowledge, Skills, and Abilities: Koerber/HighJump modules, configuration frameworks. Automated warehouse systems (conveyors, AS/RS, sortation). Distribution center optimization and emerging supply chain technologies. Agile/Scrum practices and ceremonies. Bartender label design. Advanced Power BI and DAX. Change management and user adoption strategies. Vendor relationship management. Strategic WMS alignment to business goals. Multi-site or geographically dispersed operations. Tire distribution or automotive aftermarket experience. Experience with WMS implementations and new DC startups. Certifications: Koerber/HighJump APICS/ASCM (CSCP, CLTD). Microsoft SQL Server or Power BI certifications. Work Environment: This is a fast-paced IT and dynamic operating environment. Majority of time is spent sitting, constantly viewing monitors in a comfortable position with frequent opportunity to move around. There may be occasions to move or lift light articles. Must be able to work flexible hours to accommodate routinely critical system changes. This is a remote position, preferably based in Atlanta GA, with flexibility to report to Headquarters as needed. Must be able to travel up to 10%. Salary Range: $83,100 - $103,800
