HP
Spring, Texas
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime & Performance Lead Description - As the Principal AI Runtime & Performance Lead, this role is responsible for leading AI runtime architecture, performance optimization, and xPU execution strategy. This role is responsible for the design of end-to-end technology solutions necessary to support the business strategy and objectives. The role develops innovative technology solutions that enable strategic initiatives to scale the business efficiently. The role has strong focus on software development and operational excellence using Agile and lean practices to create market differentiated solutions. Houston office in-office requirement: 4 days Responsibilities • Define runtime architecture. • Lead performance optimization efforts. • Drive benchmark methodology. • Develop model execution strategies. • Plays a critical role in building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Leads the building of standards, designs, and automates the deployment of software. • Drives technology strategy and engineering roadmaps around software engineering. • Assists supervisors with project development, including documentation of features, recording of progress, and creation of the testing plan. • Converts business concepts into the next generation of applications and tools, utilizing adaptive agile methodologies to deliver a minimal viable product to the business. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Contributes innovative ideas and may lead large cross-functional teams, exercising independent judgment to solve unique and complex problems impacting the business. • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. • Provides mentorship and guidance to lower-level employees. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong Linux and Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime & Performance Lead Description - As the Principal AI Runtime & Performance Lead, this role is responsible for leading AI runtime architecture, performance optimization, and xPU execution strategy. This role is responsible for the design of end-to-end technology solutions necessary to support the business strategy and objectives. The role develops innovative technology solutions that enable strategic initiatives to scale the business efficiently. The role has strong focus on software development and operational excellence using Agile and lean practices to create market differentiated solutions. Houston office in-office requirement: 4 days Responsibilities • Define runtime architecture. • Lead performance optimization efforts. • Drive benchmark methodology. • Develop model execution strategies. • Plays a critical role in building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Leads the building of standards, designs, and automates the deployment of software. • Drives technology strategy and engineering roadmaps around software engineering. • Assists supervisors with project development, including documentation of features, recording of progress, and creation of the testing plan. • Converts business concepts into the next generation of applications and tools, utilizing adaptive agile methodologies to deliver a minimal viable product to the business. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Contributes innovative ideas and may lead large cross-functional teams, exercising independent judgment to solve unique and complex problems impacting the business. • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. • Provides mentorship and guidance to lower-level employees. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong Linux and Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
Kalmbach Feeds Inc
Upper Sandusky, Ohio
Job Description Job Description The short version You'd build new applications for a company that makes real things, with direct access to the people who need them, and you'd make the product and design calls yourself. You'd do it alongside a small team of engineers who are very good at this. The hard integration layer, ERP, warehouse management, and the existing service fleet are already covered. You own what gets built on top. About the role Three things make this different from most "full stack" postings, plus one that will rule it out for some people: It's greenfield. You'd be building business tools from a clean slate. Modern stack, decisions still open. You are not inheriting a decade of someone else's shortcuts. You'd have strong peers, not a vacuum. An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer between our core business systems and everything else, along with the data pipelines feeding it. Both are excellent at what they do and aren't going anywhere. You'd own the applications built on top. You would have genuine ownership, and real peers worth arguing with when a decision is genuinely hard. One expectation worth stating plainly: we want developers who extend those patterns, not just consume them. You don't have to own the platform, but you should be able to read it, add to it, and be trusted to do so. This is a small team. Your work is visible and your judgment carries, and there's also nowhere to hide. You'd learn the business, not just take orders from it. Requirements come from the department heads who need the software: purchasing, nutrition, operations, sales. They don't get filtered through a product organization, and they won't be. We don't have project managers and aren't planning to hire any. This is the part of the job we care about most, so it's worth being direct about it. The people asking will describe what they think they need. The work is to absorb their process well enough to understand what they actually need, which is frequently different and occasionally the opposite. We have seen that change the course of a project, more than once. An application built from the first description tends to work for a quarter and then quietly stop fitting. Plenty of capable developers can't do this, or don't want to. That's a legitimate preference and this is the wrong job for it. The trade: no product manager to turn a vague request into a spec, no designer to hand you a comp, and light management. Nobody will assign you tickets or check your progress daily. If you build your own structure, that's freedom. If you need someone else to build it for you, this will go badly for both of us. What you'll own Architecture, API design, and user experience for the applications you build Turning business requirements into roadmaps and shipped code, including deciding what not to build Build and deployment automation: containerization, GitOps, fast and boring releases Application-layer infrastructure as code, extending our existing GitOps and deployment patterns rather than working around them The code quality and security standards that keep all of the above safe to move quickly in How we build We're deliberately polyglot: several languages in production, more than one kind of data store, containerized workloads, GitOps delivery, infrastructure as code. We aren't listing the specifics, on purpose. They change, and we'd rather hear how you choose tools than check whether you've used ours. What matters is that you've worked across enough languages and runtimes to know the language is rarely the hard part, and that you reach for the right tool for the problem t comfortable in. How we work with AI We use agentic AI development tools daily, and we've done the unglamorous part. Agent instructions, coding standards, and architecture decision records live alongside the code, so the tools produce work that fits our conventions instead of fighting them. We'd want you to extend that practice, not invent one from scratch. We're also clear-eyed about it. These tools make it easy to produce something that demos well and falls apart in six months, and we've watched it happen elsewhere. The conventions exist to prevent that. We'd rather you use them heavily and understand exactly what you shipped than either avoid them or trust them blindly. If you have opinions about where they genuinely help and where they quietly create problems, we want to hear them. What we're looking for We're not listing a number of years. What matters is what you've actually done: You've architected, shipped, and operated production systems, including being the one paged when they broke You've decided what to build, not only how, on at least one system that mattered You've learned a business process deeply enough to build something different from what was requested, and you were right You can weigh trade-offs and constraints on your own and defend the call afterward You've picked up someone else's deployment and infrastructure conventions and extended them, rather than routing around them or building a parallel path of your own You've made a UX call that shipped, turned out wrong, and fixed it You've shipped production work in more than one language and runtime, and can say why each was the right choice at the time You're comfortable across relational and non-relational data modeling, API design, and modern web architecture If you can speak to those from experience, the number on your résumé isn't interesting to us.
Job Description Job Description The short version You'd build new applications for a company that makes real things, with direct access to the people who need them, and you'd make the product and design calls yourself. You'd do it alongside a small team of engineers who are very good at this. The hard integration layer, ERP, warehouse management, and the existing service fleet are already covered. You own what gets built on top. About the role Three things make this different from most "full stack" postings, plus one that will rule it out for some people: It's greenfield. You'd be building business tools from a clean slate. Modern stack, decisions still open. You are not inheriting a decade of someone else's shortcuts. You'd have strong peers, not a vacuum. An SRE owns our delivery platform and GitOps practice. Another engineer owns the integration layer between our core business systems and everything else, along with the data pipelines feeding it. Both are excellent at what they do and aren't going anywhere. You'd own the applications built on top. You would have genuine ownership, and real peers worth arguing with when a decision is genuinely hard. One expectation worth stating plainly: we want developers who extend those patterns, not just consume them. You don't have to own the platform, but you should be able to read it, add to it, and be trusted to do so. This is a small team. Your work is visible and your judgment carries, and there's also nowhere to hide. You'd learn the business, not just take orders from it. Requirements come from the department heads who need the software: purchasing, nutrition, operations, sales. They don't get filtered through a product organization, and they won't be. We don't have project managers and aren't planning to hire any. This is the part of the job we care about most, so it's worth being direct about it. The people asking will describe what they think they need. The work is to absorb their process well enough to understand what they actually need, which is frequently different and occasionally the opposite. We have seen that change the course of a project, more than once. An application built from the first description tends to work for a quarter and then quietly stop fitting. Plenty of capable developers can't do this, or don't want to. That's a legitimate preference and this is the wrong job for it. The trade: no product manager to turn a vague request into a spec, no designer to hand you a comp, and light management. Nobody will assign you tickets or check your progress daily. If you build your own structure, that's freedom. If you need someone else to build it for you, this will go badly for both of us. What you'll own Architecture, API design, and user experience for the applications you build Turning business requirements into roadmaps and shipped code, including deciding what not to build Build and deployment automation: containerization, GitOps, fast and boring releases Application-layer infrastructure as code, extending our existing GitOps and deployment patterns rather than working around them The code quality and security standards that keep all of the above safe to move quickly in How we build We're deliberately polyglot: several languages in production, more than one kind of data store, containerized workloads, GitOps delivery, infrastructure as code. We aren't listing the specifics, on purpose. They change, and we'd rather hear how you choose tools than check whether you've used ours. What matters is that you've worked across enough languages and runtimes to know the language is rarely the hard part, and that you reach for the right tool for the problem t comfortable in. How we work with AI We use agentic AI development tools daily, and we've done the unglamorous part. Agent instructions, coding standards, and architecture decision records live alongside the code, so the tools produce work that fits our conventions instead of fighting them. We'd want you to extend that practice, not invent one from scratch. We're also clear-eyed about it. These tools make it easy to produce something that demos well and falls apart in six months, and we've watched it happen elsewhere. The conventions exist to prevent that. We'd rather you use them heavily and understand exactly what you shipped than either avoid them or trust them blindly. If you have opinions about where they genuinely help and where they quietly create problems, we want to hear them. What we're looking for We're not listing a number of years. What matters is what you've actually done: You've architected, shipped, and operated production systems, including being the one paged when they broke You've decided what to build, not only how, on at least one system that mattered You've learned a business process deeply enough to build something different from what was requested, and you were right You can weigh trade-offs and constraints on your own and defend the call afterward You've picked up someone else's deployment and infrastructure conventions and extended them, rather than routing around them or building a parallel path of your own You've made a UX call that shipped, turned out wrong, and fixed it You've shipped production work in more than one language and runtime, and can say why each was the right choice at the time You're comfortable across relational and non-relational data modeling, API design, and modern web architecture If you can speak to those from experience, the number on your résumé isn't interesting to us.