Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role: Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Senior ML Infra Engineer, you will work on the core systems that enable rapid dataset generation, training, evaluation and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next. You will develop model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high-performance training platforms you help create. What You'll Do: - Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM. - Drive complex technical projects with strong ownership of implementation, code quality, and system reliability. - Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads. - Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption. - Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity. - Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence. - Support onboarding and mentoring of junior engineers and interns. What You'll Bring: - 3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure. - Experience designing robust services or frameworks with durable, well-designed APIs. - Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments. - Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure. - Practical experience across the ML development lifecycle, including model training, deployment, and MLOps practices. - Strong cross-functional collaboration skills across teams and organizations. - Strong coding skills in Python or C++. - Interest in autonomous driving and large-scale ML systems. - BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience. Nice to Have: - Experience with distributed training methodologies. - Experience scaling ML training across large GPU/CPU clusters or specialized accelerators. - Familiarity with deep learning frameworks such as PyTorch or TensorFlow. - Experience with performance profiling and training optimization techniques and their impact on model convergence and performance. - Experience with advanced build systems such as Bazel, Buck, Blaze, or CMake. - Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes). Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $153,200.00 to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #GM-AV-1 #LI-CX1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role: Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff ML Infra Engineer, you will drive the development of core systems that enable rapid dataset generation, training, evaluation, and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next. You will deliver model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high-performance training platforms you help create. What you'll do: - Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM. - Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality. - Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline. - Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build. - Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. - Mentor and onboard junior engineers and interns, helping them grow their careers. What you'll bring: - 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems-scale distributed systems, applications, or advanced ML systems - Proven track record of designing robust frameworks with high-quality, durable APIs. - Deep understanding of machine learning algorithms with hands-on application - Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure-performance - End-to-end experience across the ML development lifecycle, including MLOps practices - Strong cross functional collaboration skills across teams and organizations - Exceptional coding skills in Python or C++ - Strong interest in autonomous driving and its transformative potential - BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience Nice to have: - Experience with distributed training methodologies - Experience scaling ML training across large GPU/CPU clusters or other accelerators - Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) - Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance -of-the-art training optimization techniques, including their impact on convergence. - Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake) - Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes) Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $189,300.00 to $290,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #GM-AV-1 #LI-CX1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Company Description Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team. Job Description The Cloud Infrastructure Engineer is responsible for designing, building, and automating secure, scalable AWS infrastructure that supports Experian Health's cloud platform. This role focuses on Infrastructure as Code, reusable cloud patterns, EKS operations, and security best practices to enable application teams to deploy and operate efficiently in a multi-account AWS environment. You will report to the Software Engineering Software Engineer Manager. Qualifications - 5+ years of IT experience with at least 3 years in hands-on AWS infrastructure engineering. - Strong experience with Terraform and Infrastructure as Code principles. - Experience with core AWS services (VPC, EC2, IAM, RDS, S3, Load Balancers). - Experience working with Kubernetes (EKS preferred). - Solid understanding of AWS networking and cloud security fundamentals. - Strong communication skills and ability to collaborate across engineering teams. Responsibilities - Design and implement AWS infrastructure using Terraform (Infrastructure as Code). - Develop reusable infrastructure modules and standardized cloud patterns. - Build, maintain, and optimize Amazon EKS environments. - Partner with application teams to onboard and support cloud-native workloads. - Implement and enforce AWS security best practices (IAM, networking, encryption, logging). - Troubleshoot and continuously improve cloud reliability, automation, and cost efficiency. Additional Information Benefits/Perks: Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. This is a fully remote job opportunity. #LI-Remote Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. - Employee Status: Regular - Role Type: Hybrid - Department: Technology - Schedule: Full Time - Shift: Day Shift

Salary*: $70,000+ *Dependent upon qualifications Summit 7 is here to rise above the ordinary. The work we do here goes far beyond day-to-day projects - it further protects the US defense industrial base from cyber threats, fosters thought leadership, and creates growth opportunities. Our support staff, sales team and technicians are all coming together to make a difference. We also recognize that you're a person with life beyond work, that's why we invest in meaningful health and welfare benefits such as: - Excellent health/dental benefits from BCBS and Ameritas - See into the future with our luxurious VSP vision benefits - Prepare for the long-haul courtesy of our 401k with company matching - Unlimited mobile phone plan - 10 days' vacation, 7 days sick time - Bonuses and salary increase potential via our certifications plan We do cool work here, defying expectations by simply being who we are - each of us makes an impact. Essential Functions: - Develop Infrastructure processes and workflows to improve reliability and efficiency. - Engineer server, endpoint, and infrastructure configurations using enterprise tooling and automation. - Diagnose outages and performance issues and drive root cause remediation. - Maintain patching strategies to ensure consistent system compliance. - Manage backup and recovery solutions to support business continuity. - Document system architecture, configuration baselines, and operational standards. - Collaborate with Network Engineering on complex infrastructure issues. - Define Infrastructure policies, standards, and procedures. - Execute vulnerability remediation and system hardening efforts. - Communicate with clients during service disruptions and provide technical clarity. - Implement operational workflows that reduce manual effort and increase system stability. - Coordinate with vendors and third parties to resolve platform level issues. - Lead Infrastructure projects and ensure alignment with engineering standards. - Partner with internal teams to resolve cross functional technical issues. - Automate recurring tasks using scripting and workflow tools. - Administer tooling to support MSP customers (ServiceNow, Tanium, AvePoint, Azure backups, etc.) - Oversee backup and recovery systems. Additional responsibilities include, but are not limited to: - Software management and deployment. - Hardware management and deployment. - Other duties as assigned. Requirements Required - Security+ CE or IAT Level II equivalent certification. - Administrative experience with Windows, macOS, Linux, Android, and iOS. - Proficiency with Mobile Device Management (MDM) platforms. - Foundational networking knowledge (firewalls, switches, WAPs, endpoints, servers). - Administrative experience with Remote Monitoring and Management (RMM) tools. - Working knowledge of cloud technologies such as Azure. - Experience administering enterprise antivirus solutions. - Strong communication skills for high‑pressure technical and customer interactions. - Ability to work independently with a strong commitment to continuous learning. - Ability to identify and apply industry best practices and emerging trends. - S. citizenship with the ability to pass an extensive background check. - Experience automating tasks and processes using modern tooling. - Experience with Tanium for endpoint management, patching, and automation. - Experience supporting RMM tools, Tanium preferred. - Four (4)+ years of MSP or related experience. Optional / Desired - Experience supporting VDI environments. - Experience managing SQL environments. - Experience with Microsoft Power Platform tools. - Scripting experience (PowerShell, CLI, Bash, etc.). - Experience building servers, performing upgrades, and executing migrations. - Experience using ServiceNow or similar ITSM platforms for incident, request, and change management. - Experience supporting CMMC compliant environments. Export Control Notice: This position may involve access to information subject to U.S. export control laws, including the International Traffic in Arms Regulations (ITAR) or the Export Administration Regulations (EAR). Qualified applicants will be considered regardless of national origin or immigration status. If a candidate does not meet the definition of a "U.S. Person" (as defined in 22 CFR § 120.15), the company will assess whether an export license is required. If a license is required, any offer of employment will be contingent upon the candidate's eligibility for, and the company's ability to obtain, such a license in accordance with U.S. law. A "U.S. Person" includes U.S. citizens, lawful permanent residents, asylees, and refugees. Summit 7 Systems is an equal opportunity/ affirmative action employer and an alcohol and drug free workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Summit 7 Systems requires background investigations. Any offer of employment is contingent upon the results of a reference/background check. We are a drug and alcohol-free workplace and require pre-employment drug screening.