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Member of Technical Staff, Forward Deployed (US Gov) Core team $200K - $350K/yr compensation Required Skills Python LLM Systems Data Pipelines Distributed Systems About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success. What You'll Work On Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms. Build AI systems that turn mission data, models, and tools into real operational autonomy. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration. What We're Looking For Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership. Strong Python engineer with end-to-end ownership experience. Experience with LLMs and creating agentic systems. Built or maintained data pipelines / ML infrastructure. Familiar with RL workflows or simulation environments. Comfortable in high-security / high-reliability environments. Preferred Qualifications Active U.S. security clearance or eligibility and willingness to obtain one. Experience supporting U.S. Government, defense, intelligence, or national security missions. Prior experience at a startup, defense organization, Department of War, or government-focused technology company. Background operating in fast-moving startup environments, mission-critical government settings, or both. Compensation & Benefits Notice All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Member of Technical Staff, Forward Deployed (US Gov) Core team $200K - $350K/yr compensation Required Skills Python LLM Systems Data Pipelines Distributed Systems About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success. What You'll Work On Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms. Build AI systems that turn mission data, models, and tools into real operational autonomy. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration. What We're Looking For Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership. Strong Python engineer with end-to-end ownership experience. Experience with LLMs and creating agentic systems. Built or maintained data pipelines / ML infrastructure. Familiar with RL workflows or simulation environments. Comfortable in high-security / high-reliability environments. Preferred Qualifications Active U.S. security clearance or eligibility and willingness to obtain one. Experience supporting U.S. Government, defense, intelligence, or national security missions. Prior experience at a startup, defense organization, Department of War, or government-focused technology company. Background operating in fast-moving startup environments, mission-critical government settings, or both. Compensation & Benefits Notice All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineering Manager, you will lead a high-performing team dedicated to redefining how the world consumes storage infrastructure through an AI -driven, multi-cloud fabric. You will act as a technical catalyst, driving the delivery of unified data services while providing deep mentorship to foster a culture of engineering excellence. By collaborating closely with Product and Architecture leads, you will bridge the gap between long-term business strategy and high-impact technical execution to scale our global platform. WHAT YOU'LL DO Build and Scale High-Performing Teams: Drive the end-to-end lifecycle of engineering talent, from strategic hiring and onboarding to cultivating an environment of psychological safety and rapid innovation. Direct Technical Strategy: Oversee the architectural health of core data services-including cloud mobility and high-availability systems-ensuring all engineering decisions support massive scale and multi-cloud resilience. Drive Predictable Delivery: Manage high-impact roadmaps by optimizing agile workflows and proactively addressing technical debt to ensure the consistent release of enterprise-grade features that meet business KPIs. Bridge Strategy and Execution: Serve as the primary conduit between Product Management and Engineering, translating complex customer requirements into actionable technical priorities and long-term milestones. Champion Professional Growth: Elevate the organization's collective capability by mentoring senior and staff-level engineers, guiding career development, and setting the standard for modern software development best practices. WHAT YOU BRING Distributed Systems Expertise: Deep technical proficiency in architecting and shipping large-scale enterprise software, with specific experience in high-availability systems, cloud-native technologies, or storage protocols. Adaptive People Leadership: Proven experience managing and growing software engineering teams, with a track record of navigating organizational complexity and fostering a high-performance culture. Operational Command: Mastery of delivery management and lean engineering processes, demonstrating the ability to balance rapid feature velocity with system stability, security, and quality. Influential Communication: The ability to articulate complex technical trade-offs and project health to executive leadership while remaining deeply connected to the engineering team's daily technical challenges. Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $193,000 - $317,000 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ 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 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Platform, including some UiPath understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of FOUR (4) years of Microsoft Power Platform or Dynamics 365 CRM development experience Selected Candidate must be able to commute onsite to the client as needed US Citizenship is contractually required Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Understanding of RPA development lifecycle, including process and object creation. Experience developing with UiPath. Familiarity with RPA Control Room, queue management, and scheduling. Ability to follow RPA best practices and coding standards under supervision. Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired Experience with RPA tools like UiPath BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MD / VA WHAT YOU'LL DO Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement, adapting the conversation to each audience instead of delivering the same presentation Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time, and the real cost of the current environment Support research workloads end to end, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive Help customers work through data management questions: lifecycle and retention, reproducibility, sponsor and funding agency data sharing expectations, research data governance, and security requirements such as NIST 800-171 and CMMC where they apply Partner closely with account managers, specialists, channel partners, and higher education purchasing consortia and contract vehicles Take ownership of evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity Author responses to RFIs, RFPs, and RFQs, which in this segment are frequent and detailed Stay current on the competitive landscape and make sure our positioning reflects it honestly Follow market and research computing trends closely enough to bring that thinking back into our organization Lead by example living the Pure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first WHAT YOU'LL BRING Required 8 or more years of relevant experience across technology, solution design, and customer-facing communication Pre-sales or customer-facing technical experience Experience with higher education, research computing, academic medical centers, or the public sector Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications. A career built entirely inside storage is not what we are looking for A track record of selling on value: uncovering what the customer is trying to accomplish and connecting technology to business, operational, and financial outcomes The ability to hold credible conversations with engineers, architects, executives, data scientists, researchers, finance teams, and procurement, and to adjust the message for each Comfort with ambiguity, and the judgment to challenge assumptions and help customers think through complicated decisions Curiosity, empathy, an open mind, and a genuine appetite for continuous learning Excellent verbal and written communication skills BS in CS, EE, another technical degree, or equivalent experience Helpful, but not required Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, object) and file systems Linux, NFS, and distributed Linux environments VMware, Ethernet, TCP/IP, and general networking AWS, Azure, or GCP, and hybrid or cloud-native architectures Containers, Kubernetes, and microservices Data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles Experience with higher education, research computing, academic medical centers Familiarity with HPC, research and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation If you meet most of the required list and few of the second list, we would still like to hear from you. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $212,100 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

Member of Technical Staff, Forward Deployed (US Gov) Core team $200K - $350K/yr compensation Required Skills Python LLM Systems Data Pipelines Distributed Systems About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success. What You'll Work On Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms. Build AI systems that turn mission data, models, and tools into real operational autonomy. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration. What We're Looking For Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership. Strong Python engineer with end-to-end ownership experience. Experience with LLMs and creating agentic systems. Built or maintained data pipelines / ML infrastructure. Familiar with RL workflows or simulation environments. Comfortable in high-security / high-reliability environments. Preferred Qualifications Active U.S. security clearance or eligibility and willingness to obtain one. Experience supporting U.S. Government, defense, intelligence, or national security missions. Prior experience at a startup, defense organization, Department of War, or government-focused technology company. Background operating in fast-moving startup environments, mission-critical government settings, or both. Compensation & Benefits Notice All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Member of Technical Staff, Forward Deployed (US Gov) Core team $200K - $350K/yr compensation Required Skills Python LLM Systems Data Pipelines Distributed Systems About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success. What You'll Work On Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms. Build AI systems that turn mission data, models, and tools into real operational autonomy. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration. What We're Looking For Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership. Strong Python engineer with end-to-end ownership experience. Experience with LLMs and creating agentic systems. Built or maintained data pipelines / ML infrastructure. Familiar with RL workflows or simulation environments. Comfortable in high-security / high-reliability environments. Preferred Qualifications Active U.S. security clearance or eligibility and willingness to obtain one. Experience supporting U.S. Government, defense, intelligence, or national security missions. Prior experience at a startup, defense organization, Department of War, or government-focused technology company. Background operating in fast-moving startup environments, mission-critical government settings, or both. Compensation & Benefits Notice All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Member of Technical Staff, Forward Deployed (US Gov) Core team $200K - $350K/yr compensation Required Skills Python LLM Systems Data Pipelines Distributed Systems About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success. What You'll Work On Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production. Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy. Work directly with government partners in forward-deployed environments to translate mission needs into technical systems. Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement. Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms. Build AI systems that turn mission data, models, and tools into real operational autonomy. Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration. What We're Looking For Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership. Strong Python engineer with end-to-end ownership experience. Experience with LLMs and creating agentic systems. Built or maintained data pipelines / ML infrastructure. Familiar with RL workflows or simulation environments. Comfortable in high-security / high-reliability environments. Preferred Qualifications Active U.S. security clearance or eligibility and willingness to obtain one. Experience supporting U.S. Government, defense, intelligence, or national security missions. Prior experience at a startup, defense organization, Department of War, or government-focused technology company. Background operating in fast-moving startup environments, mission-critical government settings, or both. Compensation & Benefits Notice All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Platform, including some UiPath understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of FOUR (4) years of Microsoft Power Platform or Dynamics 365 CRM development experience Selected Candidate must be able to commute onsite to the client as needed US Citizenship is contractually required Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Understanding of RPA development lifecycle, including process and object creation. Experience developing with UiPath. Familiarity with RPA Control Room, queue management, and scheduling. Ability to follow RPA best practices and coding standards under supervision. Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired Experience with RPA tools like UiPath BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job description: We are seeking a Staff Software Engineer to help develop customer-facing command-and-control software for mission-critical systems. This is a hands-on, full-stack engineering role for someone who thinks in systems, not just features. The successful candidate will lead the architecture and development of production-grade single-page applications and the backend services that support them, including real-time telemetry, operational data, and complex workflows. Responsibilities Architect and implement core systems for complex, data-driven single-page applications. Design backend services, APIs, and data flows supporting real-time telemetry and operational workflows. Lead technical design for full-stack features, ensuring scalable and maintainable implementations. Establish engineering patterns, architectural standards, and code-quality practices. Make foundational decisions on application structure, service boundaries, and system integrations. Resolve performance, reliability, and maintainability issues across the stack. Conduct architectural and code reviews. Mentor engineers through clear technical discussions and constructive feedback. Qualifications Bachelors degree in software engineering, computer science, or a related field, or equivalent relevant experience. 8+ years of engineering experience with a bachelors degree, or 6+ years with a masters degree. Demonstrated experience designing and delivering significant production software systems. Strong full-stack capability, including frontend architecture and backend services. Ability to explain technical tradeoffs and architectural decisions clearly. Experience solving complex engineering problems in a disciplined, high-accountability environment. Ability to write software independently. Familiarity with AI-enabled development tools is welcome but not a substitute for engineering judgment. Preferred Experience Python TypeScript Complex data visualization Design systems Operational or decision-support tools Real-time or mission-critical software environments Work Environment This role is primarily office-based. Strong preference is given to candidates available for onsite collaboration in Sioux Falls, South Dakota. Hybrid arrangements may be considered. Remote candidates will not be prioritized. The role may occasionally require work near production areas with noise, fumes, moving machinery, and varying temperatures. Reasonable accommodations are available for qualified individuals with disabilities. Compensation & Benefits A competitive compensation and benefits package is offered, including health and disability insurance, 401(k) match, flexible spending accounts and HSAs, employee assistance program, tuition reimbursement, parental leave, paid time off, and company-paid holidays. Qualifications: Qualifications Bachelors degree in software engineering, computer science, or a related field, or equivalent relevant experience. 8+ years of engineering experience with a bachelors degree, or 6+ years with a masters degree. Demonstrated experience designing and delivering significant production software systems. Strong full-stack capability, including frontend architecture and backend services. Ability to explain technical tradeoffs and architectural decisions clearly. Experience solving complex engineering problems in a disciplined, high-accountability environment. Ability to write software independently. Familiarity with AI-enabled development tools is welcome but not a substitute for engineering judgment. Preferred Experience Python TypeScript Complex data visualization Design systems Operational or decision-support tools Real-time or mission-critical software environments Work Environment This role is primarily office-based. Strong preference is given to candidates available for onsite collaboration in Sioux Falls, South Dakota. Hybrid arrangements may be considered. Remote candidates will not be prioritized. The role may occasionally require work near production areas with noise, fumes, moving machinery, and varying temperatures. Reasonable accommodations are available for qualified individuals with disabilities. Compensation & Benefits A competitive compensation and benefits package is offered, including health and disability insurance, 401(k) match, flexible spending accounts and HSAs, employee assistance program, tuition reimbursement, parental leave, paid time off, and company-paid holidays. Why is This a Great Opportunity: We are seeking a Staff Software Engineer to help develop customer-facing command-and-control software for mission-critical systems. This is a hands-on, full-stack engineering role for someone who thinks in systems, not just features. The successful candidate will lead the architecture and development of production-grade single-page applications and the backend services that support them, including real-time telemetry, operational data, and complex workflows.

Sr Staff Embedded Systems Engineer, Wellness Work Mode: Onsite Location: Onsite 4 - Kohler, WI Opportunity Shape the future of at-home wellness-where water, hardware, firmware, and environment come together to restore, recover, and re-energize. As a Senior Staff Embedded Systems Engineer, you will turn emerging technologies into real, physical experiences - systems that can be felt, not just described. You will define architecture, build working solutions, and prove performance in the environments where it matters most. This is a role for a hands-on leader who creates momentum through action, bringing Kohler's vision for elevated daily rituals to life. Core Responsibilities Lead by doing. Define system requirements, design, build, test, and refine working hardware and firmware from first concept through validation, creating tangible wellness experiences that perform in the real world. Define system architecture. Architect robust, end-to-end embedded systems that unify electronics, firmware, sensing, and controls with water, steam, thermal, lighting, and air. Establish scalable platforms that enable consistent, elevated experiences across products. Engineer systems that are felt. Design and develop integrated hardware (PCBAs, control systems, sensor networks, and electro-mechanical interfaces) that deliver comfort, precision, and reliability in demanding bathroom environments. Own electronics execution. Lead schematic design, PCB layout, component strategy, and bring-up, driving hardware from concept into validated, production-ready systems. Design for real-world conditions. Create solutions that perform under heat, humidity, and water exposure, balancing durability, safety, and long-term reliability through strong engineering fundamentals. Integrate firmware with intent. Ensure responsive, intuitive control, translating hardware capability into seamless user experience. Prototype the experience. Build early and test often using hands-on iteration to validate not only function, but how the system restores, relaxes, and performs. Prove feasibility. Bring clarity to ambiguity, defining requirements, identifying risks, and validating solutions through structured testing, tolerance analysis, and costed execution plans. Drive manufacturability. Translate complex systems into scalable, buildable solutions aligned with supplier capability and production realities. Protect and create IP. Develop hardware innovations that are both differentiated and defensible, strengthening Kohler's leadership in wellness. Stay ahead. Continuously explore advancements in sensing, control, and environmental systems to inform what comes next. Communicate with clarity. Deliver focused, technically grounded insights that accelerate decisions and de-risk execution. What Success Looks Like Embedded systems that don't just function, but elevate daily ritual into meaningful wellness experiences Scalable platforms that bring consistency and differentiation across product lines First-to-market innovations that integrate seamlessly into real environments Patented technologies that define Kohler's leadership in wellness Skills/Requirements Bachelor's degree (or higher) in Electrical Engineering, Computer Engineering or equivalent 8-10+ years delivering consumer product NPD Hands-on builder with a strong sense of ownership and follow-through Deep expertise in embedded systems (electronics + firmware integration) including architecture and design of complex electromechanical products Strong mixed-signal analog and digital circuit design fundamentals Board-level design and validation of electronic circuits including component selection, schematic capture, and PCB layout (Altium preferred) Experience developing and leading implementation of test plans for hardware/firmware, and to ensure regulatory compliance (EMC, FCC, CE, UL, etc) Real-time embedded systems experience with microprocessors and microcontrollers Demonstrated experience in firmware design and documentation practices Strong knowledge in embedded C/C++ and object-oriented programming Demonstrated knowledge and experience in writing firmware for applications incorporating RTOS DfX and quality management methodologies (FMEA, DFMEA, DFM/DFA) Strong root cause analysis and debugging capabilities of both hardware and firmware Preferred Power electronics and power conversion Environmental sensing (temperature, humidity, flow, air) Connected systems (BLE, Wi-Fi, MQTT, Matter) Exposure to biometrics or machine learning CUSTOM.PAY.TRANSPARENCY Why Choose Kohler? We empower each associate to with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. About Us It is Kohler's policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to-end AI-powered solutions that enhance our healthcare products and services. You will work across the full stack, from front-end user interfaces to back-end AI model integration and data pipelines. Responsibilities Develop and deliver AI-driven enterprise quality software applications. Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases Design and optimize data pipelines and datasets for AI system development and testing. Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies Maintain prompt libraries & benchmark performance Fine-tune & serve GPT-family, Llama Develop AI agents Semantic Kernel Prototype co-pilot experiences & autonomous workflows Fully document all work at both the code level and application level. The ability to learn and adapt in a changing environment. Collaborate with other staff and outside stakeholders on large projects. Must be passionate about creating solutions and solving complex problems. Priority will be given to candidates who reside in the Atlanta, GA, and Columbus, OH metropolitan areas. We are unable to provide sponsorship for this role presently or in the future. Minimum Qualifications Minimum 4+ years of experience in Software development. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills Minimum 4+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models. Proficiency in Python and AI related python libraries such as openai , tensorflow , pytorch AI System Evaluation & Optimization: Proficient in sensitivity metrics (precision, recall, F1-score, AUC-ROC) and MLOps for scalable, cost-efficient AI deployment. RAG Development: Skilled in building RAG systems from scratch or with LangChain / LlamaIndex , using vector databases for context-aware LLM applications. Experience using AI coding tools (e.g. Github Copilot, Cursor, Codeium /Windsurf) LLM Cost Optimization: Expert in managing LLM costs (token pricing, input/output rates) via prompt caching, batching, and quantization. LLM Knowledge: Deep understanding of LLM advancements (GPT-3.5 vs GPT-4 vs o1/"thinking" models) for informed model selection and tuning. Preferred Skills Exceptional analytical skills to extract actionable insights from data Healthcare Domain Expertise, Translate clinical/business needs into AI solutions Proficiency in creating Node.js web apps (e.g. Express.js) Experience with cloud (AWS/GCP/ Azure ) Effective communication skills to collaborate with technical, DevOps and product management teams. Experience with Git, Docker, and Kubernetes We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $110,300 - $183,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. EC2 Nitro drives the planet's largest, fastest growing and most feature-rich compute cloud. Nitro is AWS's ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon's custom silicon - Graviton3 - while raising the industry bar for security and performance across our product line. The Nitro Team is looking for engineers with systems knowledge and experience in area such as Linux OS boot sequencing, Kernel, Hypervisor (Xen or KVM), peripheral device development (PCIe or NVMe) and building compute infrastructure to support High Memory and High performance computing workloads. The Nitro High Memory and HPC team owns the purpose built platform development for the High performance computing workloads and database workloads like SAP, Oracle and SQL with tens of terra-byte of memories. Team interfaces directly with system BIOS for bare-metal instances and drives critical system interactions within the Nitro Hypervisor and across EC2 control-plane services. We need engineers with the dive-deep and ownership to work across domains (such as PC peripheral firmware or Linux Kernel internals) to deliver features and new instance types for our customers. Work is typically done in C/C++ or Rust with supporting script and tests in Python and Lua. About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 10017 BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ 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 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, SANTA CLARA - 165 600.00 USD annually