Job Description Job Description At Bumble, we're building the Love Company - a place where healthy, equitable relationships and friendships can start and grow. Machine Learning sits at the heart of that mission, helping us understand what makes a meaningful connection and powering the matching, recommendation, and personalization experiences that bring people together. As our Principal Machine Learning Engineer, Matching & Recommendations , you'll help define the technical and ML strategy behind the next generation of Bumble's recommendation systems. You'll remain hands-on while tackling complex problems across retrieval, ranking, personalization, experimentation, and two-sided marketplace optimization , partnering across Engineering, Product, Data Science, and Analytics to turn ambiguous member problems into scalable ML solutions. You'll lead through technical influence, raise the bar for ML engineering across the organization, and help us build systems that optimize not simply for engagement, but for better connections and meaningful member outcomes. What you'll do Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems About You Typically requires 10-15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills. Deep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environments Strong proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI Agents Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authority Experience partnering effectively across functions, collaborating with purpose, and taking ownership of outcomes in complex organizational environments A track record of mentoring and uplifting others, role modeling Respect and Excellence while building inclusive, high-performing teams Strong AI fluency, with the ability to independently design, evaluate, and optimize ML systems, and guide others in the responsible and effective application of AI About Us Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. AI Fluency AI is important to us. We're excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes. We encourage you to use AI responsibly as you prepare your application. Please don't use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us. Final Compensation Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job-related considerations. Inclusion at Bumble Inc. Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help. In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). AI in Bumble Inc. Hiring At Bumble, we may use AI tools to support parts of our recruitment process - such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team's efficiency and improve the candidate experience - not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly. Fraudulent Candidate Detection Our applicant tracking system analyzes signals relating to device, IP, email, and phone data associated with each application to protect applicants and our hiring process from fraudulent applications. These signals provide indicators for internal review only and do not constitute a definitive determination of identity or intent. No applicant is rejected, advanced, or otherwise affected based solely on this analysis without human review For further information on how we hold and manage your data, please refer to our Privacy Policy. Compensation Range: $345K - $410K
10/09/2026
Full time
Job Description Job Description At Bumble, we're building the Love Company - a place where healthy, equitable relationships and friendships can start and grow. Machine Learning sits at the heart of that mission, helping us understand what makes a meaningful connection and powering the matching, recommendation, and personalization experiences that bring people together. As our Principal Machine Learning Engineer, Matching & Recommendations , you'll help define the technical and ML strategy behind the next generation of Bumble's recommendation systems. You'll remain hands-on while tackling complex problems across retrieval, ranking, personalization, experimentation, and two-sided marketplace optimization , partnering across Engineering, Product, Data Science, and Analytics to turn ambiguous member problems into scalable ML solutions. You'll lead through technical influence, raise the bar for ML engineering across the organization, and help us build systems that optimize not simply for engagement, but for better connections and meaningful member outcomes. What you'll do Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems About You Typically requires 10-15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills. Deep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environments Strong proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI Agents Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authority Experience partnering effectively across functions, collaborating with purpose, and taking ownership of outcomes in complex organizational environments A track record of mentoring and uplifting others, role modeling Respect and Excellence while building inclusive, high-performing teams Strong AI fluency, with the ability to independently design, evaluate, and optimize ML systems, and guide others in the responsible and effective application of AI About Us Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. AI Fluency AI is important to us. We're excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes. We encourage you to use AI responsibly as you prepare your application. Please don't use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us. Final Compensation Will be determined based on factors such as the selected candidate's qualifications, relevant experience, skill set, and other job-related considerations. Inclusion at Bumble Inc. Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, color, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help. In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). AI in Bumble Inc. Hiring At Bumble, we may use AI tools to support parts of our recruitment process - such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team's efficiency and improve the candidate experience - not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly. Fraudulent Candidate Detection Our applicant tracking system analyzes signals relating to device, IP, email, and phone data associated with each application to protect applicants and our hiring process from fraudulent applications. These signals provide indicators for internal review only and do not constitute a definitive determination of identity or intent. No applicant is rejected, advanced, or otherwise affected based solely on this analysis without human review For further information on how we hold and manage your data, please refer to our Privacy Policy. Compensation Range: $345K - $410K
Job Description Job Description Overview Location: Austin, TX (4 days in-office) Employment Type: Full-time Department: Engineering & Product As a Principal Machine Learning Engineer: You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations. As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You'll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data. Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You'll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact. This is a full-time position based in our Austin, TX office (4 days a week in-office) . We are located near Mopac and W. Anderson Lane. Job Responsibilities Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an emphasis on scalability, quality, and maintainability. Focus areas could include estimating property-level risk, accurately assessing costs, and using aerial image analysis or modeling techniques to identify attributes that feed into other models. Build and maintain the data layer : Build lightweight data pipelines and new dbt tables to get raw data model-ready, without owning heavy ETL infrastructure. Drive measurable business impact: Lead the exploration and implementation of new ML applications in our product ecosystem to better predict risk on a per-insured level and in aggregate across the entire portfolio. Write clean, maintainable code in our stack: We build on an event-driven architecture using Kafka, AWS (EKS), Python, Django/FastAPI, and Postgres, with a full CI/CD pipeline via GitHub Actions. You will set a high bar for engineering quality and architectural design within this ecosystem. Partner closely with Engineering, Product, Operations, and Business teams to design reliable solutions across systems and ensure your models are solving real-world problems. Provide excellent metrics and visibility into model quality, bias, and performance to assess how it's helping the business, ensuring a high bar of scientific rigor and evaluation. What we're looking for: Experienced: 5+ years experience applying Machine Learning methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead or owning end-to-end deployment is definitely a plus. Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment. Builder with a Business Mindset: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You aren't just interested in the research; you have thoughtful opinions about where the data leads and how to maximize the business impact of your work. Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions (and foundational models) so we don't reinvent the wheel, but you understand when a custom solution is appropriate. Curious: You are not just an order-taker. You are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when an analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You're not the type of engineer who wants fully fleshed-out specs thrown over the wall for you to implement. Nice to have: Actuarial experience, or experience applying models to risk evaluation and aggregation problems. Experience in computer vision and image analysis. Experience with dbt or similar modern data transformation tools. What We Offer: Compensation : Top of market salary + equity Time Off: 3 weeks PTO + 6 federal holidays Insurance: Medical, dental, vision, life, disability, HSA, FSA Retirement: 401(k) Perks: Free snacks, team lunches, collaborative office culture Why Join Steadily: Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation . We pay at the top of the Austin market (see comp). Growth opportunity : We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions. Strong backing . We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded. Culture : Steadily boasts a very unique culture that our teammates love. We call it like we see it and we're nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we're all about. Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025. We're excited to meet you!
10/09/2026
Full time
Job Description Job Description Overview Location: Austin, TX (4 days in-office) Employment Type: Full-time Department: Engineering & Product As a Principal Machine Learning Engineer: You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations. As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You'll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data. Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You'll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact. This is a full-time position based in our Austin, TX office (4 days a week in-office) . We are located near Mopac and W. Anderson Lane. Job Responsibilities Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an emphasis on scalability, quality, and maintainability. Focus areas could include estimating property-level risk, accurately assessing costs, and using aerial image analysis or modeling techniques to identify attributes that feed into other models. Build and maintain the data layer : Build lightweight data pipelines and new dbt tables to get raw data model-ready, without owning heavy ETL infrastructure. Drive measurable business impact: Lead the exploration and implementation of new ML applications in our product ecosystem to better predict risk on a per-insured level and in aggregate across the entire portfolio. Write clean, maintainable code in our stack: We build on an event-driven architecture using Kafka, AWS (EKS), Python, Django/FastAPI, and Postgres, with a full CI/CD pipeline via GitHub Actions. You will set a high bar for engineering quality and architectural design within this ecosystem. Partner closely with Engineering, Product, Operations, and Business teams to design reliable solutions across systems and ensure your models are solving real-world problems. Provide excellent metrics and visibility into model quality, bias, and performance to assess how it's helping the business, ensuring a high bar of scientific rigor and evaluation. What we're looking for: Experienced: 5+ years experience applying Machine Learning methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead or owning end-to-end deployment is definitely a plus. Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment. Builder with a Business Mindset: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You aren't just interested in the research; you have thoughtful opinions about where the data leads and how to maximize the business impact of your work. Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions (and foundational models) so we don't reinvent the wheel, but you understand when a custom solution is appropriate. Curious: You are not just an order-taker. You are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when an analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You're not the type of engineer who wants fully fleshed-out specs thrown over the wall for you to implement. Nice to have: Actuarial experience, or experience applying models to risk evaluation and aggregation problems. Experience in computer vision and image analysis. Experience with dbt or similar modern data transformation tools. What We Offer: Compensation : Top of market salary + equity Time Off: 3 weeks PTO + 6 federal holidays Insurance: Medical, dental, vision, life, disability, HSA, FSA Retirement: 401(k) Perks: Free snacks, team lunches, collaborative office culture Why Join Steadily: Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation . We pay at the top of the Austin market (see comp). Growth opportunity : We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions. Strong backing . We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded. Culture : Steadily boasts a very unique culture that our teammates love. We call it like we see it and we're nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we're all about. Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025. We're excited to meet you!
Job Description Job Description About Base Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role Base is seeking a Test Engineer to facilitate the deployment, sustaining, and improvement of automated manufacturing test systems developed in-house for the production of battery backup systems. As a member of our team, you will ensure the products developed by the team meet world-class expectations and ensure success of the overall project. You must have a genuine passion for engineering and thrive working in a fast-paced, entrepreneurial environment. What You'll Do Lead uptime (HW reliability, software faults, maintenance schedules, etc.), cycle time and FPY improvements on manufacturing test equipment. Collaborate with cross-functional teams to ensure the manufacturing test equipment meets and exceeds expectations. Understand shortcomings when expectations are not met. Perform preemptive data analysis and voice of the customer (VOC) discussions to understand challenges with manufacturing test equipment post deployment, and advocate for solutions that align with both equipment and production goals. Understand engineering first principles of test equipment and have a system level grasp of operations to serve as a key contact for the design team and site operations. Build and validate test equipment, then deploy to production lines at contract. manufacturers and internally, while verifying tester documentation to ensure a seamless handoff to production. Provide ongoing troubleshooting support for these testers after deployment. Support equipment troubleshooting and qualification during development and ramp-up of manufacturing equipment. What You'll Bring 5+ years of experience in electrical test systems design. Exposure to a wide variety of test and automation systems, production machinery, industrial sensors, data acquisition, safety, and I/O devices (i.e., pogo-pins, pressure transducers, temperature controllers, current and power meters, PLCs, etc.) Hands-on experience designing and building end-of-line and functional test systems Experience with Linux and Windows operating systems. Understanding of grid simulators, RLC power manipulation, inverter operations, and power system controls. Ability to read and understand software code (e.g., TestStand, LabVIEW, Python, Golang, C, C++). Experience with CAN bus communications and ability to interpret traces. Basic proficiency in PLC programming and troubleshooting (e.g., Allen-Bradley/Siemens). Effective at summarizing/presenting data in a manner that is easily digestible to various technical and non-technical audiences. Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience. About this Team Makers of the machines that power tomorrow. The Manufacturing Engineering team owns the interface between a proof of concept and a scalable, profitable product. Our team focuses on how a product can be built, defining the process technology and equipment solutions along the way. We are the feedback loop with the product design team to ensure designs are manufacturable both at cost and scale. The Manufacturing Engineering team owns every aspect of bringing the physical mechanisms of manufacturing a product into the factory. Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive. Our Values First Principles Thinking: Question assumptions. Principles > rules. Operate at Base Pace: Focus on what matters, act quickly, and learn by doing. Give & Get Feedback: Be direct, be humble, and maintain a growth mindset. Everyone's an Owner: Follow through on commitments and own results. Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information. Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in. Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things. Do the best work of your life at Base.
10/09/2026
Full time
Job Description Job Description About Base Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role Base is seeking a Test Engineer to facilitate the deployment, sustaining, and improvement of automated manufacturing test systems developed in-house for the production of battery backup systems. As a member of our team, you will ensure the products developed by the team meet world-class expectations and ensure success of the overall project. You must have a genuine passion for engineering and thrive working in a fast-paced, entrepreneurial environment. What You'll Do Lead uptime (HW reliability, software faults, maintenance schedules, etc.), cycle time and FPY improvements on manufacturing test equipment. Collaborate with cross-functional teams to ensure the manufacturing test equipment meets and exceeds expectations. Understand shortcomings when expectations are not met. Perform preemptive data analysis and voice of the customer (VOC) discussions to understand challenges with manufacturing test equipment post deployment, and advocate for solutions that align with both equipment and production goals. Understand engineering first principles of test equipment and have a system level grasp of operations to serve as a key contact for the design team and site operations. Build and validate test equipment, then deploy to production lines at contract. manufacturers and internally, while verifying tester documentation to ensure a seamless handoff to production. Provide ongoing troubleshooting support for these testers after deployment. Support equipment troubleshooting and qualification during development and ramp-up of manufacturing equipment. What You'll Bring 5+ years of experience in electrical test systems design. Exposure to a wide variety of test and automation systems, production machinery, industrial sensors, data acquisition, safety, and I/O devices (i.e., pogo-pins, pressure transducers, temperature controllers, current and power meters, PLCs, etc.) Hands-on experience designing and building end-of-line and functional test systems Experience with Linux and Windows operating systems. Understanding of grid simulators, RLC power manipulation, inverter operations, and power system controls. Ability to read and understand software code (e.g., TestStand, LabVIEW, Python, Golang, C, C++). Experience with CAN bus communications and ability to interpret traces. Basic proficiency in PLC programming and troubleshooting (e.g., Allen-Bradley/Siemens). Effective at summarizing/presenting data in a manner that is easily digestible to various technical and non-technical audiences. Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience. About this Team Makers of the machines that power tomorrow. The Manufacturing Engineering team owns the interface between a proof of concept and a scalable, profitable product. Our team focuses on how a product can be built, defining the process technology and equipment solutions along the way. We are the feedback loop with the product design team to ensure designs are manufacturable both at cost and scale. The Manufacturing Engineering team owns every aspect of bringing the physical mechanisms of manufacturing a product into the factory. Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive. Our Values First Principles Thinking: Question assumptions. Principles > rules. Operate at Base Pace: Focus on what matters, act quickly, and learn by doing. Give & Get Feedback: Be direct, be humble, and maintain a growth mindset. Everyone's an Owner: Follow through on commitments and own results. Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information. Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in. Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things. Do the best work of your life at Base.
Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .
10/07/2026
Full time
Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .
Job Description Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. Job Overview: The Fulfillment Supervisor is responsible for overseeing and ensuring the accurate and timely picking, packing, and preparation of orders during their assigned shift. Working in a cold production environment, this role requires attention to detail, strong organizational skills, and the ability to effectively lead and communicate with a bilingual team (English and Spanish). The Fulfillment Supervisor will utilize technology such as Tableau, Google Sheets and communication tools (Slack, Geneva, Gmail) to monitor operations and ensure smooth workflow. Key Responsibilities: 1. Operational Oversight / Team Management Supervise pick-and-pack operations, ensuring all orders are accurately fulfilled and meet quality standards. Monitor order progress to ensure timely completion during the assigned shift. Troubleshoot and resolve any operational issues that may arise. Provide clear instructions and guidance to team members to optimize performance. Address team member concerns and escalate issues to management when necessary. Work effectively in a cold storage environment, while training team members on cold storage best practices and safety guidelines. 2. Reporting and Communication Use a combination of Tableau and Google Sheets to track and document order progress and team performance metrics. Communicate effectively using tools like Slack, Geneva, and Gmail to coordinate with other teams and management. Prepare end-of-shift reports detailing key metrics, issues, and resolutions. 3. Compliance and Quality Control Ensure all orders meet company quality standards before dispatch. Enforce adherence to Standard Operating Procedures (SOPs). Operate pallet jack to move pallets of product Processes to focus on and implement: Pick and Pack SOP's Inventory Counting Scheduling / Labor Utilization Qualifications Bilingual (English and Spanish): Fluency in both languages is required, no exceptions. Technology Skills: Proficiency in Google Sheets and familiarity with communication tools like Slack, Geneva, and Gmail. Environment: Ability to work in a cold production environment. Leadership Skills: Strong ability to manage and motivate a diverse team. Physical Skill: ability to lift/carry up to 50lbs. Attention to Detail: High level of accuracy in monitoring operations and fulfilling orders. Benefits Health Insurance coverage with Cigna Weekly payments Opportunity for advancement CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $25-$25 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer . We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously - sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: Apply only through our official channels. All open roles are listed on our official careers page: Our recruiters are real people - and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page. We only communicate through official CookUnity channels. That means emails ending and interviews held through official company platforms (Google Meet or Zoom) - never WhatsApp, Telegram, or SMS. We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity - and we care about keeping your experience (and safety) as genuine as possible.
10/07/2026
Full time
Job Description Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. Job Overview: The Fulfillment Supervisor is responsible for overseeing and ensuring the accurate and timely picking, packing, and preparation of orders during their assigned shift. Working in a cold production environment, this role requires attention to detail, strong organizational skills, and the ability to effectively lead and communicate with a bilingual team (English and Spanish). The Fulfillment Supervisor will utilize technology such as Tableau, Google Sheets and communication tools (Slack, Geneva, Gmail) to monitor operations and ensure smooth workflow. Key Responsibilities: 1. Operational Oversight / Team Management Supervise pick-and-pack operations, ensuring all orders are accurately fulfilled and meet quality standards. Monitor order progress to ensure timely completion during the assigned shift. Troubleshoot and resolve any operational issues that may arise. Provide clear instructions and guidance to team members to optimize performance. Address team member concerns and escalate issues to management when necessary. Work effectively in a cold storage environment, while training team members on cold storage best practices and safety guidelines. 2. Reporting and Communication Use a combination of Tableau and Google Sheets to track and document order progress and team performance metrics. Communicate effectively using tools like Slack, Geneva, and Gmail to coordinate with other teams and management. Prepare end-of-shift reports detailing key metrics, issues, and resolutions. 3. Compliance and Quality Control Ensure all orders meet company quality standards before dispatch. Enforce adherence to Standard Operating Procedures (SOPs). Operate pallet jack to move pallets of product Processes to focus on and implement: Pick and Pack SOP's Inventory Counting Scheduling / Labor Utilization Qualifications Bilingual (English and Spanish): Fluency in both languages is required, no exceptions. Technology Skills: Proficiency in Google Sheets and familiarity with communication tools like Slack, Geneva, and Gmail. Environment: Ability to work in a cold production environment. Leadership Skills: Strong ability to manage and motivate a diverse team. Physical Skill: ability to lift/carry up to 50lbs. Attention to Detail: High level of accuracy in monitoring operations and fulfilling orders. Benefits Health Insurance coverage with Cigna Weekly payments Opportunity for advancement CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $25-$25 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer . We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously - sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: Apply only through our official channels. All open roles are listed on our official careers page: Our recruiters are real people - and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page. We only communicate through official CookUnity channels. That means emails ending and interviews held through official company platforms (Google Meet or Zoom) - never WhatsApp, Telegram, or SMS. We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity - and we care about keeping your experience (and safety) as genuine as possible.
Job Description Job Description LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs. If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility. Manager of Operations Training Work Location: Austin / Des Moines / Kansas City POSITION SUMMARY Lightedge is seeking a Manager of Operations Training to lead the design, delivery, and continuous improvement of training programs for technical Operations teams. This role owns onboarding, continuing education, technical documentation, skills assessment, Learning Management System administration, and the development of consistent training practices across the organization. The Manager of Operations Training leads and develops Technical Trainers, Technical Writers, and other training contributors. This position establishes priorities, manages training capacity and performance, coaches team members, and partners with Operations, Engineering, Product, People, and other stakeholders to align training with process changes, technology updates, service requirements, and business priorities. The ideal candidate can translate complex technical and operational processes into clear, practical learning experiences while using data, feedback, and responsible AI practices to improve employee performance and operational outcomes. RESPONSIBILITIES Training Strategy and Delivery Own onboarding and continuing-education programs for Operations teams, from needs analysis through delivery and evaluation. Design and facilitate technical training, workshops, refresher courses, and hands-on learning experiences. Create and maintain technical documentation and curricula, including knowledgebase articles, training videos, instructor guides, and live training templates. Assess individual and team skill gaps and develop targeted training plans and career development resources. Build standardized training frameworks, learning paths, assessments, and qualification programs. Maintain a consistent training experience across teams, locations, schedules, and operational functions. Administer and maintain the Learning Management System (LMS), including courses, enrollments, learning paths, permissions, reporting, and content publishing. Leadership and Team Management Lead, coach, and develop Technical Trainers, Technical Writers, and other training contributors. Establish team goals, performance expectations, delivery standards, and quality measures. Conduct regular one-on-one meetings, team meetings, performance discussions, and development conversations. Provide ongoing feedback, recognition, coaching, and accountability to support individual and team success. Manage training workload, capacity planning, project assignments, and delivery priorities. Coordinate training calendars, facilitator assignments, curriculum development, and content-production schedules. Identify skill gaps within the training team and create opportunities for professional growth and cross-training. Participate in recruiting, interviewing, onboarding, and succession planning for training team members. Lead Technical Trainer and Technical Writer work using Agile/Scrum practices and clearly defined goals. Foster a collaborative, accountable, and continuous-improvement culture across the training organization. Operational Partnership and Continuous Improvement Partner with technical and business stakeholders to keep training aligned with process changes, technology updates, operational requirements, and customer-impact priorities. Lead regular planning, status, and tactical meetings to review training priorities, open deliverables, risks, dependencies, and performance. Gather feedback from learners, instructors, managers, and stakeholders to improve training effectiveness. Track training completion, assessment results, time to productivity, content quality, and other performance indicators. Use training and operational data to identify trends, recommend improvements, and measure program effectiveness. Maintain PHP-based training or operational applications when assigned, including troubleshooting, configuration, content or code updates, testing, and release coordination. Use AI tools responsibly for content creation, instructional frameworks, assessments, scenario development, feedback analysis, and quality improvement with appropriate human review. EDUCATION AND EXPERIENCE Experience designing and delivering technical training for IT operations, infrastructure, engineering, or comparable technical teams. Experience leading, coaching, or managing trainers, technical writers, instructional designers, or other learning professionals. Experience establishing team goals, managing workloads, conducting performance discussions, and developing employees. Experience with instructional design, training needs analysis, skills gap assessment, and learning evaluation. Strong presentation, facilitation, written communication, and stakeholder-management skills. Ability to explain complex technical and non-technical processes clearly to varied audiences. Experience creating and maintaining technical documentation, knowledge articles, training videos, curriculum, instructor guides, or similar learning content. Experience administering and maintaining an LMS, including course setup, enrollments, permissions, reporting, learning paths, and content publishing. Experience with knowledge management, workflow, project management, or learning platforms. Demonstrated technical Operations experience and an understanding of technical problem resolution. Experience using generative AI tools to support training content creation, evaluation, instructional design, or feedback analysis with sound judgment and human review. A degree or formal certification in instructional design, education, business, information technology, or a related field is preferred; equivalent experience is welcome. PREFERRED SKILLS Instructional design and technical facilitation Training team leadership and employee development Learning measurement and performance improvement Learning Management Systems Knowledge-management platforms ServiceNow and related workflow platforms Agile/Scrum practices ChatGPT, Claude, or comparable generative AI tools PHP and web development Windows, Linux, AIX, and Power IBM i Citrix and VMware Cisco switching and routing IPAM, NetBox, or Infoblox Fortinet or Palo Alto firewalls Monitoring platforms such as Nagios, Blue Matador, SolarWinds, or ScienceLogic Backup and recovery platforms such as Veeam, Commvault, Zerto, or VCDA Storage platforms such as Pure, IBM, NetApp, or Dell Technologies With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/07/2026
Full time
Job Description Job Description LightEdge Solutions is developing the IT solutions that will propel businesses forward over the next 10 years. Using a combination of shared and private/dedicated platforms, LightEdge has been successful in offering businesses alternatives that streamline operations, improve reliability and reduce costs. If you are passionate about creating real solutions that help businesses with cutting-edge technology, want to be challenged to think out of the box and be in a position where you can impact change on a daily basis, then LightEdge can offer you a dynamic corporate environment built on teamwork and personal responsibility. Manager of Operations Training Work Location: Austin / Des Moines / Kansas City POSITION SUMMARY Lightedge is seeking a Manager of Operations Training to lead the design, delivery, and continuous improvement of training programs for technical Operations teams. This role owns onboarding, continuing education, technical documentation, skills assessment, Learning Management System administration, and the development of consistent training practices across the organization. The Manager of Operations Training leads and develops Technical Trainers, Technical Writers, and other training contributors. This position establishes priorities, manages training capacity and performance, coaches team members, and partners with Operations, Engineering, Product, People, and other stakeholders to align training with process changes, technology updates, service requirements, and business priorities. The ideal candidate can translate complex technical and operational processes into clear, practical learning experiences while using data, feedback, and responsible AI practices to improve employee performance and operational outcomes. RESPONSIBILITIES Training Strategy and Delivery Own onboarding and continuing-education programs for Operations teams, from needs analysis through delivery and evaluation. Design and facilitate technical training, workshops, refresher courses, and hands-on learning experiences. Create and maintain technical documentation and curricula, including knowledgebase articles, training videos, instructor guides, and live training templates. Assess individual and team skill gaps and develop targeted training plans and career development resources. Build standardized training frameworks, learning paths, assessments, and qualification programs. Maintain a consistent training experience across teams, locations, schedules, and operational functions. Administer and maintain the Learning Management System (LMS), including courses, enrollments, learning paths, permissions, reporting, and content publishing. Leadership and Team Management Lead, coach, and develop Technical Trainers, Technical Writers, and other training contributors. Establish team goals, performance expectations, delivery standards, and quality measures. Conduct regular one-on-one meetings, team meetings, performance discussions, and development conversations. Provide ongoing feedback, recognition, coaching, and accountability to support individual and team success. Manage training workload, capacity planning, project assignments, and delivery priorities. Coordinate training calendars, facilitator assignments, curriculum development, and content-production schedules. Identify skill gaps within the training team and create opportunities for professional growth and cross-training. Participate in recruiting, interviewing, onboarding, and succession planning for training team members. Lead Technical Trainer and Technical Writer work using Agile/Scrum practices and clearly defined goals. Foster a collaborative, accountable, and continuous-improvement culture across the training organization. Operational Partnership and Continuous Improvement Partner with technical and business stakeholders to keep training aligned with process changes, technology updates, operational requirements, and customer-impact priorities. Lead regular planning, status, and tactical meetings to review training priorities, open deliverables, risks, dependencies, and performance. Gather feedback from learners, instructors, managers, and stakeholders to improve training effectiveness. Track training completion, assessment results, time to productivity, content quality, and other performance indicators. Use training and operational data to identify trends, recommend improvements, and measure program effectiveness. Maintain PHP-based training or operational applications when assigned, including troubleshooting, configuration, content or code updates, testing, and release coordination. Use AI tools responsibly for content creation, instructional frameworks, assessments, scenario development, feedback analysis, and quality improvement with appropriate human review. EDUCATION AND EXPERIENCE Experience designing and delivering technical training for IT operations, infrastructure, engineering, or comparable technical teams. Experience leading, coaching, or managing trainers, technical writers, instructional designers, or other learning professionals. Experience establishing team goals, managing workloads, conducting performance discussions, and developing employees. Experience with instructional design, training needs analysis, skills gap assessment, and learning evaluation. Strong presentation, facilitation, written communication, and stakeholder-management skills. Ability to explain complex technical and non-technical processes clearly to varied audiences. Experience creating and maintaining technical documentation, knowledge articles, training videos, curriculum, instructor guides, or similar learning content. Experience administering and maintaining an LMS, including course setup, enrollments, permissions, reporting, learning paths, and content publishing. Experience with knowledge management, workflow, project management, or learning platforms. Demonstrated technical Operations experience and an understanding of technical problem resolution. Experience using generative AI tools to support training content creation, evaluation, instructional design, or feedback analysis with sound judgment and human review. A degree or formal certification in instructional design, education, business, information technology, or a related field is preferred; equivalent experience is welcome. PREFERRED SKILLS Instructional design and technical facilitation Training team leadership and employee development Learning measurement and performance improvement Learning Management Systems Knowledge-management platforms ServiceNow and related workflow platforms Agile/Scrum practices ChatGPT, Claude, or comparable generative AI tools PHP and web development Windows, Linux, AIX, and Power IBM i Citrix and VMware Cisco switching and routing IPAM, NetBox, or Infoblox Fortinet or Palo Alto firewalls Monitoring platforms such as Nagios, Blue Matador, SolarWinds, or ScienceLogic Backup and recovery platforms such as Veeam, Commvault, Zerto, or VCDA Storage platforms such as Pure, IBM, NetApp, or Dell Technologies With over 20 years in business, LightEdge offers a full stack of best-in-class IT services delivering flexibility, security, and control. Our solutions include premier colocation across seven purpose-built data centers spanning Des Moines, IA, Kansas City, MO, Omaha, NE, Austin, TX, and Raleigh, NC, industry-leading private Infrastructure as a Service (IaaS) and cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud Solution Center. LightEdge annually undergoes third-party audits for ISO 20000-1, ISO 27001, HIPAA, PCI-DSS 3.2, and SSAE 18 SOC 1 Type II, SOC 2 Type II and SOC 3. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. Job Overview: The Fulfillment Supervisor is responsible for overseeing and ensuring the accurate and timely picking, packing, and preparation of orders during their assigned shift. Working in a cold production environment, this role requires attention to detail, strong organizational skills, and the ability to effectively lead and communicate with a bilingual team (English and Spanish). The Fulfillment Supervisor will utilize technology such as Tableau, Google Sheets and communication tools (Slack, Geneva, Gmail) to monitor operations and ensure smooth workflow. Key Responsibilities: 1. Operational Oversight / Team Management Supervise pick-and-pack operations, ensuring all orders are accurately fulfilled and meet quality standards. Monitor order progress to ensure timely completion during the assigned shift. Troubleshoot and resolve any operational issues that may arise. Provide clear instructions and guidance to team members to optimize performance. Address team member concerns and escalate issues to management when necessary. Work effectively in a cold storage environment, while training team members on cold storage best practices and safety guidelines. 2. Reporting and Communication Use a combination of Tableau and Google Sheets to track and document order progress and team performance metrics. Communicate effectively using tools like Slack, Geneva, and Gmail to coordinate with other teams and management. Prepare end-of-shift reports detailing key metrics, issues, and resolutions. 3. Compliance and Quality Control Ensure all orders meet company quality standards before dispatch. Enforce adherence to Standard Operating Procedures (SOPs). Operate pallet jack to move pallets of product Processes to focus on and implement: Pick and Pack SOP's Inventory Counting Scheduling / Labor Utilization Qualifications Bilingual (English and Spanish): Fluency in both languages is required, no exceptions. Technology Skills: Proficiency in Google Sheets and familiarity with communication tools like Slack, Geneva, and Gmail. Environment: Ability to work in a cold production environment. Leadership Skills: Strong ability to manage and motivate a diverse team. Physical Skill: ability to lift/carry up to 50lbs. Attention to Detail: High level of accuracy in monitoring operations and fulfilling orders. Benefits Health Insurance coverage with Cigna Weekly payments Opportunity for advancement CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $25-$25 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer . We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously - sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: Apply only through our official channels. All open roles are listed on our official careers page: Our recruiters are real people - and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page. We only communicate through official CookUnity channels. That means emails ending and interviews held through official company platforms (Google Meet or Zoom) - never WhatsApp, Telegram, or SMS. We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity - and we care about keeping your experience (and safety) as genuine as possible.
10/02/2026
Full time
Job Description Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. Job Overview: The Fulfillment Supervisor is responsible for overseeing and ensuring the accurate and timely picking, packing, and preparation of orders during their assigned shift. Working in a cold production environment, this role requires attention to detail, strong organizational skills, and the ability to effectively lead and communicate with a bilingual team (English and Spanish). The Fulfillment Supervisor will utilize technology such as Tableau, Google Sheets and communication tools (Slack, Geneva, Gmail) to monitor operations and ensure smooth workflow. Key Responsibilities: 1. Operational Oversight / Team Management Supervise pick-and-pack operations, ensuring all orders are accurately fulfilled and meet quality standards. Monitor order progress to ensure timely completion during the assigned shift. Troubleshoot and resolve any operational issues that may arise. Provide clear instructions and guidance to team members to optimize performance. Address team member concerns and escalate issues to management when necessary. Work effectively in a cold storage environment, while training team members on cold storage best practices and safety guidelines. 2. Reporting and Communication Use a combination of Tableau and Google Sheets to track and document order progress and team performance metrics. Communicate effectively using tools like Slack, Geneva, and Gmail to coordinate with other teams and management. Prepare end-of-shift reports detailing key metrics, issues, and resolutions. 3. Compliance and Quality Control Ensure all orders meet company quality standards before dispatch. Enforce adherence to Standard Operating Procedures (SOPs). Operate pallet jack to move pallets of product Processes to focus on and implement: Pick and Pack SOP's Inventory Counting Scheduling / Labor Utilization Qualifications Bilingual (English and Spanish): Fluency in both languages is required, no exceptions. Technology Skills: Proficiency in Google Sheets and familiarity with communication tools like Slack, Geneva, and Gmail. Environment: Ability to work in a cold production environment. Leadership Skills: Strong ability to manage and motivate a diverse team. Physical Skill: ability to lift/carry up to 50lbs. Attention to Detail: High level of accuracy in monitoring operations and fulfilling orders. Benefits Health Insurance coverage with Cigna Weekly payments Opportunity for advancement CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $25-$25 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer . We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously - sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: Apply only through our official channels. All open roles are listed on our official careers page: Our recruiters are real people - and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page. We only communicate through official CookUnity channels. That means emails ending and interviews held through official company platforms (Google Meet or Zoom) - never WhatsApp, Telegram, or SMS. We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity - and we care about keeping your experience (and safety) as genuine as possible.
Job Description Job Description Job Title: Data Center Technician Location: Austin TX -Onsite Mode : Contract (6+ Months) (Could be extended) Mode of Interview:- Phone/Video GC and USC Qualifications: High school pass out - Minimum Technical Experience: Should know basic computer Hardware asset knowledge Experience Required: 6-8 Skills: MVS System Administration Description:- Rack, Build, cable, configure, and provision Servers - Rack, Cable, and Deploy Cisco layer 2 networking equipment - Troubleshoot, test, quality assurance of Server hardware - Professionally resolve hardware issues via trouble ticket - Comfortable lifting weights 50 lbs - Can stand for long hours on Ladders - Ready to travel on need basis - Basic Networking Knowledge - Awareness on Safety requirements working at Data Center Desired experience: Operating System Installation - Windows Server, Linux, Unix Cabling knowledge beyond dressing or running cabling, such as confidently comprehending port mapping and ability to know the differences and purposes behind each cable type Understanding of basic hardware troubleshooting and applying logical methods of resolution Rack, cable, and deploy Cisco Layer 2 networking equipment a plus Experience with RAID levels is a plus Web Server and Database installation experience a plus Must be able to work in this country without sponsorship Must be willing to learn quickly, multitask, and work in a fast-paced environment
09/30/2026
Full time
Job Description Job Description Job Title: Data Center Technician Location: Austin TX -Onsite Mode : Contract (6+ Months) (Could be extended) Mode of Interview:- Phone/Video GC and USC Qualifications: High school pass out - Minimum Technical Experience: Should know basic computer Hardware asset knowledge Experience Required: 6-8 Skills: MVS System Administration Description:- Rack, Build, cable, configure, and provision Servers - Rack, Cable, and Deploy Cisco layer 2 networking equipment - Troubleshoot, test, quality assurance of Server hardware - Professionally resolve hardware issues via trouble ticket - Comfortable lifting weights 50 lbs - Can stand for long hours on Ladders - Ready to travel on need basis - Basic Networking Knowledge - Awareness on Safety requirements working at Data Center Desired experience: Operating System Installation - Windows Server, Linux, Unix Cabling knowledge beyond dressing or running cabling, such as confidently comprehending port mapping and ability to know the differences and purposes behind each cable type Understanding of basic hardware troubleshooting and applying logical methods of resolution Rack, cable, and deploy Cisco Layer 2 networking equipment a plus Experience with RAID levels is a plus Web Server and Database installation experience a plus Must be able to work in this country without sponsorship Must be willing to learn quickly, multitask, and work in a fast-paced environment
Job Description Job Description Overview Location: Austin, TX (4 days in-office) Employment Type: Full-time Department: Engineering & Product As a Principal Machine Learning Engineer: You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations. As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You'll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data. Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You'll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact. This is a full-time position based in our Austin, TX office (4 days a week in-office) . We are located near Mopac and W. Anderson Lane. Job Responsibilities Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an emphasis on scalability, quality, and maintainability. Focus areas could include estimating property-level risk, accurately assessing costs, and using aerial image analysis or modeling techniques to identify attributes that feed into other models. Build and maintain the data layer : Build lightweight data pipelines and new dbt tables to get raw data model-ready, without owning heavy ETL infrastructure. Drive measurable business impact: Lead the exploration and implementation of new ML applications in our product ecosystem to better predict risk on a per-insured level and in aggregate across the entire portfolio. Write clean, maintainable code in our stack: We build on an event-driven architecture using Kafka, AWS (EKS), Python, Django/FastAPI, and Postgres, with a full CI/CD pipeline via GitHub Actions. You will set a high bar for engineering quality and architectural design within this ecosystem. Partner closely with Engineering, Product, Operations, and Business teams to design reliable solutions across systems and ensure your models are solving real-world problems. Provide excellent metrics and visibility into model quality, bias, and performance to assess how it's helping the business, ensuring a high bar of scientific rigor and evaluation. What we're looking for: Experienced: 5+ years experience applying Machine Learning methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead or owning end-to-end deployment is definitely a plus. Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment. Builder with a Business Mindset: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You aren't just interested in the research; you have thoughtful opinions about where the data leads and how to maximize the business impact of your work. Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions (and foundational models) so we don't reinvent the wheel, but you understand when a custom solution is appropriate. Curious: You are not just an order-taker. You are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when an analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You're not the type of engineer who wants fully fleshed-out specs thrown over the wall for you to implement. Nice to have: Actuarial experience, or experience applying models to risk evaluation and aggregation problems. Experience in computer vision and image analysis. Experience with dbt or similar modern data transformation tools. What We Offer: Compensation : Top of market salary + equity Time Off: 3 weeks PTO + 6 federal holidays Insurance: Medical, dental, vision, life, disability, HSA, FSA Retirement: 401(k) Perks: Free snacks, team lunches, collaborative office culture Why Join Steadily: Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation . We pay at the top of the Austin market (see comp). Growth opportunity : We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions. Strong backing . We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded. Culture : Steadily boasts a very unique culture that our teammates love. We call it like we see it and we're nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we're all about. Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025. We're excited to meet you!
09/30/2026
Full time
Job Description Job Description Overview Location: Austin, TX (4 days in-office) Employment Type: Full-time Department: Engineering & Product As a Principal Machine Learning Engineer: You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations. As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You'll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data. Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You'll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact. This is a full-time position based in our Austin, TX office (4 days a week in-office) . We are located near Mopac and W. Anderson Lane. Job Responsibilities Own the end-to-end ML lifecycle: Design, build, deploy, and evolve data sets and models with an emphasis on scalability, quality, and maintainability. Focus areas could include estimating property-level risk, accurately assessing costs, and using aerial image analysis or modeling techniques to identify attributes that feed into other models. Build and maintain the data layer : Build lightweight data pipelines and new dbt tables to get raw data model-ready, without owning heavy ETL infrastructure. Drive measurable business impact: Lead the exploration and implementation of new ML applications in our product ecosystem to better predict risk on a per-insured level and in aggregate across the entire portfolio. Write clean, maintainable code in our stack: We build on an event-driven architecture using Kafka, AWS (EKS), Python, Django/FastAPI, and Postgres, with a full CI/CD pipeline via GitHub Actions. You will set a high bar for engineering quality and architectural design within this ecosystem. Partner closely with Engineering, Product, Operations, and Business teams to design reliable solutions across systems and ensure your models are solving real-world problems. Provide excellent metrics and visibility into model quality, bias, and performance to assess how it's helping the business, ensuring a high bar of scientific rigor and evaluation. What we're looking for: Experienced: 5+ years experience applying Machine Learning methods to production problems. We expect you to be able to dive into a complex codebase without too much spin-up. Past experience as a team lead or owning end-to-end deployment is definitely a plus. Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment. Builder with a Business Mindset: You like the product-side of data and think about how to apply modeling and evaluation techniques to real-world problems. You aren't just interested in the research; you have thoughtful opinions about where the data leads and how to maximize the business impact of your work. Pragmatic: We prioritize impact and delivery. You balance speed and quality, making thoughtful trade-offs to solve problems effectively. You leverage off-the-shelf solutions (and foundational models) so we don't reinvent the wheel, but you understand when a custom solution is appropriate. Curious: You are not just an order-taker. You are curious about what makes the business tick and you learn the intricacies of how it runs. This results in strong intuition for when an analysis is wrong and leads you to suggest ideas and insights that nobody thought to ask for. You're not the type of engineer who wants fully fleshed-out specs thrown over the wall for you to implement. Nice to have: Actuarial experience, or experience applying models to risk evaluation and aggregation problems. Experience in computer vision and image analysis. Experience with dbt or similar modern data transformation tools. What We Offer: Compensation : Top of market salary + equity Time Off: 3 weeks PTO + 6 federal holidays Insurance: Medical, dental, vision, life, disability, HSA, FSA Retirement: 401(k) Perks: Free snacks, team lunches, collaborative office culture Why Join Steadily: Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation . We pay at the top of the Austin market (see comp). Growth opportunity : We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions. Strong backing . We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded. Culture : Steadily boasts a very unique culture that our teammates love. We call it like we see it and we're nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we're all about. Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025. We're excited to meet you!
Job Description Job Description Company Overview ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments. Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems - giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community. Following a $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security. ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit . Position Overview: As a Mission Operations Engineer, you will be at the center of how ACS technologies are applied across real-world missions. You'll plan and execute domestic and international events, provide critical support to program managers, and bridge the gap between engineers, operators, and clients. This role combines technical understanding with operational execution, ensuring ACS systems are effectively integrated into a wide range of mission environments. What You'll Do: Plan and execute CONUS and OCONUS events, coordinating mission readiness and operational support. Support program managers in meeting client requirements and mission objectives. Educate engineers on tactical implementation of ACS assets across the spectrum of warfare. Develop and maintain a deep understanding of defense-in-depth technical characteristics and operational challenges. Assess and articulate capabilities and limitations of UAS platforms and their real-world employment. Leverage baseline knowledge of ML/CV/AI and its applications across optical, radar, and electronic warfare systems. What You'll Need: 3+ years of relevant military, defense, or mission operations experience. Strong understanding of UAS systems, employment methods, and operational considerations. Familiarity with defense acquisition and funding processes. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Baseline knowledge of ML, computer vision, and AI applications in defense contexts. Bachelor's degree in engineering, computer science, or a related technical or defense-focused field (advanced degree a plus). Ability to travel domestically and internationally to support mission events. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
09/29/2026
Full time
Job Description Job Description Company Overview ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments. Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems - giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community. Following a $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security. ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit . Position Overview: As a Mission Operations Engineer, you will be at the center of how ACS technologies are applied across real-world missions. You'll plan and execute domestic and international events, provide critical support to program managers, and bridge the gap between engineers, operators, and clients. This role combines technical understanding with operational execution, ensuring ACS systems are effectively integrated into a wide range of mission environments. What You'll Do: Plan and execute CONUS and OCONUS events, coordinating mission readiness and operational support. Support program managers in meeting client requirements and mission objectives. Educate engineers on tactical implementation of ACS assets across the spectrum of warfare. Develop and maintain a deep understanding of defense-in-depth technical characteristics and operational challenges. Assess and articulate capabilities and limitations of UAS platforms and their real-world employment. Leverage baseline knowledge of ML/CV/AI and its applications across optical, radar, and electronic warfare systems. What You'll Need: 3+ years of relevant military, defense, or mission operations experience. Strong understanding of UAS systems, employment methods, and operational considerations. Familiarity with defense acquisition and funding processes. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Baseline knowledge of ML, computer vision, and AI applications in defense contexts. Bachelor's degree in engineering, computer science, or a related technical or defense-focused field (advanced degree a plus). Ability to travel domestically and internationally to support mission events. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Job Description Job Description Company Description Renesas is a global semiconductor company delivering innovative embedded processing, analog, power, and connectivity solutions. This role supports advanced power management products for demanding compute, AI, datacenter, and infrastructure applications. Job Description Renesas is seeking an experienced Principal Digital Engineer to define scalable verification and validation methodologies for advanced digital power management products used in AI, datacenter, and high-performance computing applications. This role focuses on the system-level verification layer that connects analog behavior, digital implementation, firmware interaction, software tooling, validation data, and customer-facing performance. The successful candidate will help define what must be proven, how it should be measured, and how results should be correlated across models, simulation, emulation, bench validation, and silicon. The ideal candidate combines mixed-signal engineering depth with verification strategy, automation mindset, and the ability to align cross-functional teams around clear, repeatable evidence. WHY THIS ROLE MATTERS Define verification strategy for complex mixed-signal power management systems. Improve confidence in architecture decisions by connecting requirements, models, tests, and measured data. Help execution teams converge faster by turning expert validation knowledge into reusable verification patterns. KEY RESPONSIBILITIES Define mixed-signal verification strategy for digital power controllers and related power management products. Develop system-level verification plans covering sensing paths, ADC/DAC behavior, PWM paths, telemetry, compensation, control-loop behavior, latency, quantization, noise, limits, sequencing, and corner behavior. Establish correlation methodologies across behavioral models, RTL, analog/mixed-signal simulations, emulation, bench validation, and silicon measurements where applicable. Define measurable pass/fail criteria, coverage expectations, reference scenarios, and evidence requirements for architecture and product decisions. Collaborate with systems, analog design, digital design, firmware, design verification, validation, applications, and software/tool teams. Support automation of verification results, including consistent metrics, plots, waveforms, summaries, and structured outputs for engineering review. Identify verification gaps early and help teams close ambiguity between system intent, implementation behavior, and validation evidence. Document verification methodology, interface assumptions, test intent, correlation expectations, and residual risks clearly for technical and leadership audiences. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. 8+ years of experience in mixed-signal verification, semiconductor validation, systems engineering, analog/mixed-signal design, design verification, or related product development. Strong understanding of analog and mixed-signal building blocks such as ADCs, DACs, amplifiers, references, sensing paths, timing circuits, PWM paths, or power stages. Experience defining verification plans, validation methodologies, measurable results, and technical evidence for complex electronic systems. Ability to work across analog, digital, firmware, validation, applications, and software/tool teams. Strong communication skills and ability to explain complex cross-domain verification issues clearly. PREFERRED QUALIFICATIONS Experience with digital multiphase controllers, DC/DC converters, voltage regulators, power management ICs, or high-current datacenter power applications. Experience with model-to-silicon correlation, behavioral modeling, real-number modeling, Verilog-AMS, SystemVerilog RNM, MATLAB, Python, SIMPLIS, or equivalent environments. Experience with verification automation, data analysis, test infrastructure, dashboards, databases, or API-driven workflows. Familiarity with control loops, stability, latency, quantization, noise, telemetry, and power-system measurement techniques. Experience creating reusable verification frameworks that improve quality and reduce repeated manual test setup. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future. At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Are you ready to join our team and shape the future with us? Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
09/28/2026
Full time
Job Description Job Description Company Description Renesas is a global semiconductor company delivering innovative embedded processing, analog, power, and connectivity solutions. This role supports advanced power management products for demanding compute, AI, datacenter, and infrastructure applications. Job Description Renesas is seeking an experienced Principal Digital Engineer to define scalable verification and validation methodologies for advanced digital power management products used in AI, datacenter, and high-performance computing applications. This role focuses on the system-level verification layer that connects analog behavior, digital implementation, firmware interaction, software tooling, validation data, and customer-facing performance. The successful candidate will help define what must be proven, how it should be measured, and how results should be correlated across models, simulation, emulation, bench validation, and silicon. The ideal candidate combines mixed-signal engineering depth with verification strategy, automation mindset, and the ability to align cross-functional teams around clear, repeatable evidence. WHY THIS ROLE MATTERS Define verification strategy for complex mixed-signal power management systems. Improve confidence in architecture decisions by connecting requirements, models, tests, and measured data. Help execution teams converge faster by turning expert validation knowledge into reusable verification patterns. KEY RESPONSIBILITIES Define mixed-signal verification strategy for digital power controllers and related power management products. Develop system-level verification plans covering sensing paths, ADC/DAC behavior, PWM paths, telemetry, compensation, control-loop behavior, latency, quantization, noise, limits, sequencing, and corner behavior. Establish correlation methodologies across behavioral models, RTL, analog/mixed-signal simulations, emulation, bench validation, and silicon measurements where applicable. Define measurable pass/fail criteria, coverage expectations, reference scenarios, and evidence requirements for architecture and product decisions. Collaborate with systems, analog design, digital design, firmware, design verification, validation, applications, and software/tool teams. Support automation of verification results, including consistent metrics, plots, waveforms, summaries, and structured outputs for engineering review. Identify verification gaps early and help teams close ambiguity between system intent, implementation behavior, and validation evidence. Document verification methodology, interface assumptions, test intent, correlation expectations, and residual risks clearly for technical and leadership audiences. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. 8+ years of experience in mixed-signal verification, semiconductor validation, systems engineering, analog/mixed-signal design, design verification, or related product development. Strong understanding of analog and mixed-signal building blocks such as ADCs, DACs, amplifiers, references, sensing paths, timing circuits, PWM paths, or power stages. Experience defining verification plans, validation methodologies, measurable results, and technical evidence for complex electronic systems. Ability to work across analog, digital, firmware, validation, applications, and software/tool teams. Strong communication skills and ability to explain complex cross-domain verification issues clearly. PREFERRED QUALIFICATIONS Experience with digital multiphase controllers, DC/DC converters, voltage regulators, power management ICs, or high-current datacenter power applications. Experience with model-to-silicon correlation, behavioral modeling, real-number modeling, Verilog-AMS, SystemVerilog RNM, MATLAB, Python, SIMPLIS, or equivalent environments. Experience with verification automation, data analysis, test infrastructure, dashboards, databases, or API-driven workflows. Familiarity with control loops, stability, latency, quantization, noise, telemetry, and power-system measurement techniques. Experience creating reusable verification frameworks that improve quality and reduce repeated manual test setup. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future. At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Are you ready to join our team and shape the future with us? Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
Job Description Job Description JOB DESCRIPTION Step is looking for an experienced design leader who can lead the product, design, and UX strategy. We are a design focused consumer brand that works on physical products, digital products, and mobile apps. We're looking for someone to roll up their sleeves, lead design on individual features or verticals and make design decisions in a role with plenty of room to grow. The ideal candidate is a passionate designer who is comfortable working closely with cross-functional teams to influence product strategy and rally them around elegant, innovative mobile solutions that delight our users. What you'll do To design flows and experiences that are delightful, intuitive and elegant. Execute on a master level with an eagle eye for detail. Give feedback on product strategy and design work to continually push the level of quality on the team. Collaborate with the Head of Design, Product and Engineering leaders to deliver a world class experience to our users. Take part in defining a design system to be used across multiple products and platforms Process Improvement / Financial Infrastructure: Continuously develop systems and processes. Evaluate current processes, identify best practices, develop plans to reach goals and implement improvements. What we're looking for 8+ years demonstrated experience with end-to-end (hybrid UX and UI) product design in a product company. Excellent communication skills with the ability to clearly articulate your design decisions and collaborate with cross functional leadership. Ability to think at a high level about product strategy and vision (not just 'how it should look' but 'what we should build'). Experience in building and shipping applications or software (mobile/web) with a deep understanding of platform guidelines and best practices. Must have a portfolio featuring examples of design work.
09/28/2026
Full time
Job Description Job Description JOB DESCRIPTION Step is looking for an experienced design leader who can lead the product, design, and UX strategy. We are a design focused consumer brand that works on physical products, digital products, and mobile apps. We're looking for someone to roll up their sleeves, lead design on individual features or verticals and make design decisions in a role with plenty of room to grow. The ideal candidate is a passionate designer who is comfortable working closely with cross-functional teams to influence product strategy and rally them around elegant, innovative mobile solutions that delight our users. What you'll do To design flows and experiences that are delightful, intuitive and elegant. Execute on a master level with an eagle eye for detail. Give feedback on product strategy and design work to continually push the level of quality on the team. Collaborate with the Head of Design, Product and Engineering leaders to deliver a world class experience to our users. Take part in defining a design system to be used across multiple products and platforms Process Improvement / Financial Infrastructure: Continuously develop systems and processes. Evaluate current processes, identify best practices, develop plans to reach goals and implement improvements. What we're looking for 8+ years demonstrated experience with end-to-end (hybrid UX and UI) product design in a product company. Excellent communication skills with the ability to clearly articulate your design decisions and collaborate with cross functional leadership. Ability to think at a high level about product strategy and vision (not just 'how it should look' but 'what we should build'). Experience in building and shipping applications or software (mobile/web) with a deep understanding of platform guidelines and best practices. Must have a portfolio featuring examples of design work.
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
09/28/2026
Full time
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
Job Description Job Description Adobe Marketing Technology Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced Adobe Marketing Technology Experts to support an AI training and evaluation project focused on enterprise marketing operations. The role involves testing marketing technology workflows, evaluating AI-generated outcomes, and providing practical feedback based on real-world experience. Key Responsibilities Test and evaluate marketing workflows using Adobe Workfront, AEM, Customer Journey Analytics (CJA), Adobe Analytics, and Experience Cloud . Assess integrations between content, campaign management, analytics, and digital experience platforms. Identify workflow errors, inefficiencies, inconsistencies, and unrealistic AI-generated outcomes. Provide clear feedback on usability, workflow accuracy, and user experience. Recommend improvements based on enterprise marketing and content operations best practices. Document findings and provide actionable feedback for AI model improvement. Evaluate relevant tool connectors and workplace integrations. Collaborate with project teams through structured feedback and documentation. Required Qualifications Hands-on experience with Adobe Workfront, AEM, CJA, Adobe Analytics, or Experience Cloud . Strong understanding of enterprise marketing, content, campaign, and digital experience workflows. Ability to evaluate and optimize marketing technology processes. Strong attention to detail and professional judgment. Excellent written and verbal communication skills. Ability to identify practical versus unrealistic workflow scenarios. Comfortable working independently in a remote environment. Preferred Qualifications Experience with Zoho Campaigns or similar marketing platforms. Familiarity with ChatGPT, Claude, or other AI tools . Experience in technology testing, workflow evaluation, or digital transformation projects. Experience documenting process improvements and technical feedback. Core Skills Adobe Workfront AEM Customer Journey Analytics Adobe Analytics Experience Cloud Marketing Technology Content Operations Campaign Management Zoho Campaigns ChatGPT AI Evaluation Workflow Optimization Quality Assurance
09/28/2026
Full time
Job Description Job Description Adobe Marketing Technology Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced Adobe Marketing Technology Experts to support an AI training and evaluation project focused on enterprise marketing operations. The role involves testing marketing technology workflows, evaluating AI-generated outcomes, and providing practical feedback based on real-world experience. Key Responsibilities Test and evaluate marketing workflows using Adobe Workfront, AEM, Customer Journey Analytics (CJA), Adobe Analytics, and Experience Cloud . Assess integrations between content, campaign management, analytics, and digital experience platforms. Identify workflow errors, inefficiencies, inconsistencies, and unrealistic AI-generated outcomes. Provide clear feedback on usability, workflow accuracy, and user experience. Recommend improvements based on enterprise marketing and content operations best practices. Document findings and provide actionable feedback for AI model improvement. Evaluate relevant tool connectors and workplace integrations. Collaborate with project teams through structured feedback and documentation. Required Qualifications Hands-on experience with Adobe Workfront, AEM, CJA, Adobe Analytics, or Experience Cloud . Strong understanding of enterprise marketing, content, campaign, and digital experience workflows. Ability to evaluate and optimize marketing technology processes. Strong attention to detail and professional judgment. Excellent written and verbal communication skills. Ability to identify practical versus unrealistic workflow scenarios. Comfortable working independently in a remote environment. Preferred Qualifications Experience with Zoho Campaigns or similar marketing platforms. Familiarity with ChatGPT, Claude, or other AI tools . Experience in technology testing, workflow evaluation, or digital transformation projects. Experience documenting process improvements and technical feedback. Core Skills Adobe Workfront AEM Customer Journey Analytics Adobe Analytics Experience Cloud Marketing Technology Content Operations Campaign Management Zoho Campaigns ChatGPT AI Evaluation Workflow Optimization Quality Assurance
Job Description Job Description Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company's primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. This is an onsite role only. Job Purpose and Overview Step into the world of metal additive manufacturing for the KARNO generator , where advanced laser powder-bed fusion meets real engineering challenge. Engineers in this group work across machine behavior, process optimization, material performance, data analytics, and hardware development to ensure high-quality, repeatable production using metal laser powder-bed fusion systems. If you're the kind of engineer who enjoys digging into machine behavior, fine-tuning laser strategies, studying how materials evolve layer by layer, and pushing metal AM systems to run cleaner, faster, and more consistently, this team is built for you. The work is hands-on, data-driven, and central to scaling a first-of-its-kind distributed power technology. In this role, you'll move across the entire additive manufacturing ecosystem. You'll investigate how machine settings influence melt pools, porosity, and microstructure, and you'll design controlled experiments to refine parameters and boost repeatability. A big part of the job involves troubleshooting machine quirks, interpreting sensor data, and making sense of real-time process feedback. You'll also be working closely with design, materials, and hardware teams to bring complex AM components from early prototypes into reliable production. Along the way, you'll help build the systems, standards, and workflows that turn metal AM into a high-trust, high-reliability manufacturing process for power-generation hardware. Duties and Responsibilities: Parameter Development Focus Identify and optimize critical-to-function (CTF) parameters that drive mechanical performance, density, porosity, microstructure, and repeatability. Design and execute experiments (DOE) to map the process window, understand sensitivities, and reduce variation. Build and maintain parameter sets for new alloys, new hardware, and new machine configurations. Work with sensor data, log files, and monitoring systems to correlate in-process signatures with part quality. Develop statistical models, SPC controls, and trend analysis tools to ensure stable production behavior. Machine Development Focus Improve AM machine capability through hardware tuning, sensor integration, calibration routines, and control-system optimization. Lead machine troubleshooting, repair activities, and upgrades to improve uptime, repeatability, and print speeds. Conduct machine characterization using advanced tools and metrology equipment to map laser optics, powder behavior, thermal gradients, and recoater performance. Support machine-level IQ/OQ/MQ qualification and ongoing PM/maintenance strategies. Collaborate with equipment vendors and internal engineering teams on new machine features, experimental setups, and pilot systems. Drive automation, digital manufacturing, and data-acquisition improvements for machine performance monitoring. Qualifications Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education, Experience and Certifications Required Bachelor's degree in mechanical, materials science, aerospace, or related engineering discipline. Requires a minimum of 5 years of engineering experience after earning a bachelor's degree; relevant graduate project work can be applied toward requirements. Direct, hands-on experience with laser powder bed fusion (LPBF) additive manufacturing REQUIRED . Background in fabrication, prototyping, testing, or process development within an engineering environment. Ability to interpret engineering drawings, apply GD&T, and understand material properties data. Strong analytical and root-cause problem-solving skills. Comfortable working hands-on with machines, tools, test equipment, and mechanical assemblies. Skills and Abilities Preferred Build prep/simulation software like ANSYS Additive Suite, 3DXpert, or Dyndrite. Experience developing AM parameters, designing DOEs, or using statistical analysis tools (SPC, JMP, Minitab, Python, MATLAB). Experience troubleshooting AM machines, calibrating optics, repairing systems, or working with machine sensors and controls. Knowledge of DFAM principles, heat-treat processes, and additive-appropriate material behaviors (e.g., nickel alloys, titanium). Familiarity with CAD tools (NX, SolidWorks, or similar) and simulation/analysis workflows. Experience with IQ/OQ/MQ qualification approaches. Strong communication skills and ability to present findings to cross-functional teams. Experience in a fast-paced R&D or startup hardware environment. Why This Role Matters These engineers sit at the core of enabling scalable, high-performance additive manufacturing for the KARNO generator platform. Your work directly influences machine capability, part quality, manufacturability, and the timeline for scaling production of a first-of-its-kind power-generation technology. Role Classification and Working Conditions This is a salaried, exempt-level position. This position typically works in an office environment; and given the nature of our business is also exposed to operations/warehouses/production environments. Physical/Other Requirements Ability to lift and/or move up to 50 pounds. Ability to travel domestically, as needed, by plane, automobile, etc. approximately 30% of the time, Benefits: Medical Plans, with PPO or HDHP options Dental Plans, with buy-up option Vision Plan Life Insurance and Accidental Death & Dismemberment Plans, with buy-up options Short Term Disability, paid for by the company Long Term Disability, paid for by the company Flexible Spending Accounts (FSA) Health Savings Account (HSA) 401k/Roth 401k Voluntary Accident Plans Voluntary Critical Illness Plans Hospital Indemnity Plan Hyliion is proud to be an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, disability, veteran status. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to otherwise participate in the employment selection process, please direct your inquires to Hyliion's human resources department at .
09/26/2026
Full time
Job Description Job Description Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company's primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. This is an onsite role only. Job Purpose and Overview Step into the world of metal additive manufacturing for the KARNO generator , where advanced laser powder-bed fusion meets real engineering challenge. Engineers in this group work across machine behavior, process optimization, material performance, data analytics, and hardware development to ensure high-quality, repeatable production using metal laser powder-bed fusion systems. If you're the kind of engineer who enjoys digging into machine behavior, fine-tuning laser strategies, studying how materials evolve layer by layer, and pushing metal AM systems to run cleaner, faster, and more consistently, this team is built for you. The work is hands-on, data-driven, and central to scaling a first-of-its-kind distributed power technology. In this role, you'll move across the entire additive manufacturing ecosystem. You'll investigate how machine settings influence melt pools, porosity, and microstructure, and you'll design controlled experiments to refine parameters and boost repeatability. A big part of the job involves troubleshooting machine quirks, interpreting sensor data, and making sense of real-time process feedback. You'll also be working closely with design, materials, and hardware teams to bring complex AM components from early prototypes into reliable production. Along the way, you'll help build the systems, standards, and workflows that turn metal AM into a high-trust, high-reliability manufacturing process for power-generation hardware. Duties and Responsibilities: Parameter Development Focus Identify and optimize critical-to-function (CTF) parameters that drive mechanical performance, density, porosity, microstructure, and repeatability. Design and execute experiments (DOE) to map the process window, understand sensitivities, and reduce variation. Build and maintain parameter sets for new alloys, new hardware, and new machine configurations. Work with sensor data, log files, and monitoring systems to correlate in-process signatures with part quality. Develop statistical models, SPC controls, and trend analysis tools to ensure stable production behavior. Machine Development Focus Improve AM machine capability through hardware tuning, sensor integration, calibration routines, and control-system optimization. Lead machine troubleshooting, repair activities, and upgrades to improve uptime, repeatability, and print speeds. Conduct machine characterization using advanced tools and metrology equipment to map laser optics, powder behavior, thermal gradients, and recoater performance. Support machine-level IQ/OQ/MQ qualification and ongoing PM/maintenance strategies. Collaborate with equipment vendors and internal engineering teams on new machine features, experimental setups, and pilot systems. Drive automation, digital manufacturing, and data-acquisition improvements for machine performance monitoring. Qualifications Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Education, Experience and Certifications Required Bachelor's degree in mechanical, materials science, aerospace, or related engineering discipline. Requires a minimum of 5 years of engineering experience after earning a bachelor's degree; relevant graduate project work can be applied toward requirements. Direct, hands-on experience with laser powder bed fusion (LPBF) additive manufacturing REQUIRED . Background in fabrication, prototyping, testing, or process development within an engineering environment. Ability to interpret engineering drawings, apply GD&T, and understand material properties data. Strong analytical and root-cause problem-solving skills. Comfortable working hands-on with machines, tools, test equipment, and mechanical assemblies. Skills and Abilities Preferred Build prep/simulation software like ANSYS Additive Suite, 3DXpert, or Dyndrite. Experience developing AM parameters, designing DOEs, or using statistical analysis tools (SPC, JMP, Minitab, Python, MATLAB). Experience troubleshooting AM machines, calibrating optics, repairing systems, or working with machine sensors and controls. Knowledge of DFAM principles, heat-treat processes, and additive-appropriate material behaviors (e.g., nickel alloys, titanium). Familiarity with CAD tools (NX, SolidWorks, or similar) and simulation/analysis workflows. Experience with IQ/OQ/MQ qualification approaches. Strong communication skills and ability to present findings to cross-functional teams. Experience in a fast-paced R&D or startup hardware environment. Why This Role Matters These engineers sit at the core of enabling scalable, high-performance additive manufacturing for the KARNO generator platform. Your work directly influences machine capability, part quality, manufacturability, and the timeline for scaling production of a first-of-its-kind power-generation technology. Role Classification and Working Conditions This is a salaried, exempt-level position. This position typically works in an office environment; and given the nature of our business is also exposed to operations/warehouses/production environments. Physical/Other Requirements Ability to lift and/or move up to 50 pounds. Ability to travel domestically, as needed, by plane, automobile, etc. approximately 30% of the time, Benefits: Medical Plans, with PPO or HDHP options Dental Plans, with buy-up option Vision Plan Life Insurance and Accidental Death & Dismemberment Plans, with buy-up options Short Term Disability, paid for by the company Long Term Disability, paid for by the company Flexible Spending Accounts (FSA) Health Savings Account (HSA) 401k/Roth 401k Voluntary Accident Plans Voluntary Critical Illness Plans Hospital Indemnity Plan Hyliion is proud to be an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, disability, veteran status. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to otherwise participate in the employment selection process, please direct your inquires to Hyliion's human resources department at .
Job Description Job Description No sponsorship available. No third-party candidates. Our client, a nationally renowned non-profit organization, has revolutionized the building solutions industry over the last five decades through innovative initiatives and strategic partnerships. They need you, an experienced Network Security Engineer , to join the technical team located in Austin, Texas! Please note, this is a hybrid role, so you'll need to live in the Austin, TX area to be eligible for consideration. What you get to do: -Design network security strategy and create comprehensive cybersecurity architecture -Develop, carry out, and monitor security performance as it pertains to network infrastructure and computer systems -Configure and troubleshoot security infrastructure hardware and software -Create and implement a comprehensive company-wide infosec strategy -Train staff on infosec system best practices What you need to succeed: -5+ years of network engineering AND network security experience -Several years of experience with Windows and/or Linux system administration -Proven mastery of firewalls, routers, switches, and load balancers -Hybrid experience with both on-prem and cloud servers (customer-facing servers are in the data center, data warehousing is in the cloud; AWS and/or Azure exp preferred) -Previous hands-on auditing experience (NIST, SOC, etc.) What's in it for you: As an employee, you'll enjoy a host of great benefits, including competitive compensation, profit sharing, 401k with company matching, annual bonus structure, comprehensive medical, dental, and vision insurance, employee assistance programs, ample PTO, paid company holidays, and more! Don't wait - apply online today to get started on your next big career move! Company Description Technology Navigators is a technical staffing firm specialized in recruiting skilled technologists for project-oriented consulting and contract positions. We've been firmly rooted in the Austin technology community since 1999, and have been providing companies that develop, build, and use technology with the people they need to grow their business for over two decades. Company Description Technology Navigators is a technical staffing firm specialized in recruiting skilled technologists for project-oriented consulting and contract positions. We've been firmly rooted in the Austin technology community since 1999, and have been providing companies that develop, build, and use technology with the people they need to grow their business for over two decades.
09/26/2026
Full time
Job Description Job Description No sponsorship available. No third-party candidates. Our client, a nationally renowned non-profit organization, has revolutionized the building solutions industry over the last five decades through innovative initiatives and strategic partnerships. They need you, an experienced Network Security Engineer , to join the technical team located in Austin, Texas! Please note, this is a hybrid role, so you'll need to live in the Austin, TX area to be eligible for consideration. What you get to do: -Design network security strategy and create comprehensive cybersecurity architecture -Develop, carry out, and monitor security performance as it pertains to network infrastructure and computer systems -Configure and troubleshoot security infrastructure hardware and software -Create and implement a comprehensive company-wide infosec strategy -Train staff on infosec system best practices What you need to succeed: -5+ years of network engineering AND network security experience -Several years of experience with Windows and/or Linux system administration -Proven mastery of firewalls, routers, switches, and load balancers -Hybrid experience with both on-prem and cloud servers (customer-facing servers are in the data center, data warehousing is in the cloud; AWS and/or Azure exp preferred) -Previous hands-on auditing experience (NIST, SOC, etc.) What's in it for you: As an employee, you'll enjoy a host of great benefits, including competitive compensation, profit sharing, 401k with company matching, annual bonus structure, comprehensive medical, dental, and vision insurance, employee assistance programs, ample PTO, paid company holidays, and more! Don't wait - apply online today to get started on your next big career move! Company Description Technology Navigators is a technical staffing firm specialized in recruiting skilled technologists for project-oriented consulting and contract positions. We've been firmly rooted in the Austin technology community since 1999, and have been providing companies that develop, build, and use technology with the people they need to grow their business for over two decades. Company Description Technology Navigators is a technical staffing firm specialized in recruiting skilled technologists for project-oriented consulting and contract positions. We've been firmly rooted in the Austin technology community since 1999, and have been providing companies that develop, build, and use technology with the people they need to grow their business for over two decades.
Job Description Job Description Job Title: Data Center Technician Location: Austin TX -Onsite Mode : Contract (6+ Months) (Could be extended) Mode of Interview:- Phone/Video GC and USC Qualifications: High school pass out - Minimum Technical Experience: Should know basic computer Hardware asset knowledge Experience Required: 6-8 Skills: MVS System Administration Description:- Rack, Build, cable, configure, and provision Servers - Rack, Cable, and Deploy Cisco layer 2 networking equipment - Troubleshoot, test, quality assurance of Server hardware - Professionally resolve hardware issues via trouble ticket - Comfortable lifting weights 50 lbs - Can stand for long hours on Ladders - Ready to travel on need basis - Basic Networking Knowledge - Awareness on Safety requirements working at Data Center Desired experience: Operating System Installation - Windows Server, Linux, Unix Cabling knowledge beyond dressing or running cabling, such as confidently comprehending port mapping and ability to know the differences and purposes behind each cable type Understanding of basic hardware troubleshooting and applying logical methods of resolution Rack, cable, and deploy Cisco Layer 2 networking equipment a plus Experience with RAID levels is a plus Web Server and Database installation experience a plus Must be able to work in this country without sponsorship Must be willing to learn quickly, multitask, and work in a fast-paced environment
09/07/2026
Full time
Job Description Job Description Job Title: Data Center Technician Location: Austin TX -Onsite Mode : Contract (6+ Months) (Could be extended) Mode of Interview:- Phone/Video GC and USC Qualifications: High school pass out - Minimum Technical Experience: Should know basic computer Hardware asset knowledge Experience Required: 6-8 Skills: MVS System Administration Description:- Rack, Build, cable, configure, and provision Servers - Rack, Cable, and Deploy Cisco layer 2 networking equipment - Troubleshoot, test, quality assurance of Server hardware - Professionally resolve hardware issues via trouble ticket - Comfortable lifting weights 50 lbs - Can stand for long hours on Ladders - Ready to travel on need basis - Basic Networking Knowledge - Awareness on Safety requirements working at Data Center Desired experience: Operating System Installation - Windows Server, Linux, Unix Cabling knowledge beyond dressing or running cabling, such as confidently comprehending port mapping and ability to know the differences and purposes behind each cable type Understanding of basic hardware troubleshooting and applying logical methods of resolution Rack, cable, and deploy Cisco Layer 2 networking equipment a plus Experience with RAID levels is a plus Web Server and Database installation experience a plus Must be able to work in this country without sponsorship Must be willing to learn quickly, multitask, and work in a fast-paced environment