This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
08/05/2026
Full time
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
08/05/2026
Full time
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
08/05/2026
Full time
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
Description: Transform the Way We Work Are you the type of developer who enjoys solving real business problems, not just writing code? We are looking for a practical, product-minded Business Systems Developer to help us leverage technology, automation, data, and artificial intelligence to improve how our business operates and how our customers experience working with us. This is not a traditional software development role. You will work directly with teams across the organization to understand workflows, identify opportunities for improvement, and build useful software tools that make our company faster, smarter, and easier to do business with. This is a high-impact opportunity for someone who wants to help shape the future of a growing organization through thoughtful application of modern technology. What You'll Do Partner with leaders and employees across departments to understand how work gets done and identify opportunities for improvement. Attack specific business process improvement opportunities identified by senior leadership. Analyze existing workflows and recommend technology-driven solutions that increase efficiency, accuracy, and scalability. Build internal applications, dashboards, integrations, and workflow automations that reduce manual effort and improve visibility. Improve the flow of data between systems and help establish more reliable business processes. Develop customer-facing and customer-supporting tools that enhance speed, communication, and overall customer experience. Utilize software and AI solutions to support customer communications, document processing, knowledge management, reporting, task routing, and decision support. Evaluate emerging technologies and AI tools with a focus on practical application, measurable business value, reliability, and responsible use. Collaborate with technical and non-technical colleagues to ensure solutions meet business needs and drive adoption. Continuously seek opportunities to modernize and improve the organization's technology capabilities. What We're Looking For Experience building software solutions used by internal teams and/or customers. Strong ability to understand business processes and translate operational challenges into practical software solutions. Experience developing web applications, integrations, APIs, databases, and cloud-based solutions. Experience with automation platforms and modern development tools. Familiarity with artificial intelligence technologies and their practical business applications. Excellent communication skills with the ability to work effectively across all levels of the organization. A problem-solving mindset and a bias toward delivering useful, maintainable solutions. Ability to balance technical excellence with business priorities and real-world constraints. Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience. Experience developing and supporting cloud-based applications, platforms, and services. Experience with APIs, SQL databases, system integrations, and business applications. Experience implementing automation, workflow, or AI-powered solutions. Experience working in manufacturing, operations, engineering, or project-based environments is a plus. Why This Role Matters This position will play a key role in helping us modernize how we operate. The solutions you develop will directly impact employee productivity, operational efficiency, data quality, decision-making, and customer experience. If you're excited about solving meaningful business challenges with technology and want to see the direct impact of your work, we'd love to hear from you. Get a glimpse of life at Takeform: Find your future with us. Affirmative Action/Equal Opportunity Employer Requirements: Compensation details: 00 Yearly Salary PIac965ea5edc3-0343
08/05/2026
Full time
Description: Transform the Way We Work Are you the type of developer who enjoys solving real business problems, not just writing code? We are looking for a practical, product-minded Business Systems Developer to help us leverage technology, automation, data, and artificial intelligence to improve how our business operates and how our customers experience working with us. This is not a traditional software development role. You will work directly with teams across the organization to understand workflows, identify opportunities for improvement, and build useful software tools that make our company faster, smarter, and easier to do business with. This is a high-impact opportunity for someone who wants to help shape the future of a growing organization through thoughtful application of modern technology. What You'll Do Partner with leaders and employees across departments to understand how work gets done and identify opportunities for improvement. Attack specific business process improvement opportunities identified by senior leadership. Analyze existing workflows and recommend technology-driven solutions that increase efficiency, accuracy, and scalability. Build internal applications, dashboards, integrations, and workflow automations that reduce manual effort and improve visibility. Improve the flow of data between systems and help establish more reliable business processes. Develop customer-facing and customer-supporting tools that enhance speed, communication, and overall customer experience. Utilize software and AI solutions to support customer communications, document processing, knowledge management, reporting, task routing, and decision support. Evaluate emerging technologies and AI tools with a focus on practical application, measurable business value, reliability, and responsible use. Collaborate with technical and non-technical colleagues to ensure solutions meet business needs and drive adoption. Continuously seek opportunities to modernize and improve the organization's technology capabilities. What We're Looking For Experience building software solutions used by internal teams and/or customers. Strong ability to understand business processes and translate operational challenges into practical software solutions. Experience developing web applications, integrations, APIs, databases, and cloud-based solutions. Experience with automation platforms and modern development tools. Familiarity with artificial intelligence technologies and their practical business applications. Excellent communication skills with the ability to work effectively across all levels of the organization. A problem-solving mindset and a bias toward delivering useful, maintainable solutions. Ability to balance technical excellence with business priorities and real-world constraints. Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience. Experience developing and supporting cloud-based applications, platforms, and services. Experience with APIs, SQL databases, system integrations, and business applications. Experience implementing automation, workflow, or AI-powered solutions. Experience working in manufacturing, operations, engineering, or project-based environments is a plus. Why This Role Matters This position will play a key role in helping us modernize how we operate. The solutions you develop will directly impact employee productivity, operational efficiency, data quality, decision-making, and customer experience. If you're excited about solving meaningful business challenges with technology and want to see the direct impact of your work, we'd love to hear from you. Get a glimpse of life at Takeform: Find your future with us. Affirmative Action/Equal Opportunity Employer Requirements: Compensation details: 00 Yearly Salary PIac965ea5edc3-0343
About Carv Carv is on a mission to unlock the enjoyment of better skiing. We use AI, real-time feedback, and sensor-driven data to help skiers to measure technique and coach them to improve. Our team is building industry-pioneering software that bridges the gap between technology and human performance. We're looking for a product-minded, inquisitive and inventive Senior Rust Engineer to drive the development of the core of Carv's coaching across Android and iOS, and expand and maintain our backend infrastructure. If you love building products that push the limits of what's possible with real-time experiences on constrained devices, we'd love to hear from you. What You'll Do Own the Rust codebase from architecture to implementation Maintain and scale our infrastructure on Google Cloud Work closely with designers, product managers and skiers to build category defining coaching experiences Implement real-time coaching features powered by AI and sensor data, and test these on the ski slope Stay on top of industry trends and Rust advancements and adopt the latest best practices What We're Looking For A passionate skier, beginner skiers welcome Demonstrated ability to maintain scalable codebases in Rust/go/C++ or similar languages Commercial experience with Rust/go/C++ or similar languages in production Relentless bias for action Track-record of excelling in a small-team environment, even better if at a start-up Why Join Carv? Work on a game-changing product that combines AI, biomechanics, and coaching Autonomy and impact -you'll be a key player in shaping the future of digital sports training Opportunity to work from our Innsbruck office where you can ski with fully subsidised ski tickets Ready to redefine sports coaching? Apply below. PIadc8d26b05d5-5295
08/05/2026
Full time
About Carv Carv is on a mission to unlock the enjoyment of better skiing. We use AI, real-time feedback, and sensor-driven data to help skiers to measure technique and coach them to improve. Our team is building industry-pioneering software that bridges the gap between technology and human performance. We're looking for a product-minded, inquisitive and inventive Senior Rust Engineer to drive the development of the core of Carv's coaching across Android and iOS, and expand and maintain our backend infrastructure. If you love building products that push the limits of what's possible with real-time experiences on constrained devices, we'd love to hear from you. What You'll Do Own the Rust codebase from architecture to implementation Maintain and scale our infrastructure on Google Cloud Work closely with designers, product managers and skiers to build category defining coaching experiences Implement real-time coaching features powered by AI and sensor data, and test these on the ski slope Stay on top of industry trends and Rust advancements and adopt the latest best practices What We're Looking For A passionate skier, beginner skiers welcome Demonstrated ability to maintain scalable codebases in Rust/go/C++ or similar languages Commercial experience with Rust/go/C++ or similar languages in production Relentless bias for action Track-record of excelling in a small-team environment, even better if at a start-up Why Join Carv? Work on a game-changing product that combines AI, biomechanics, and coaching Autonomy and impact -you'll be a key player in shaping the future of digital sports training Opportunity to work from our Innsbruck office where you can ski with fully subsidised ski tickets Ready to redefine sports coaching? Apply below. PIadc8d26b05d5-5295
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085
08/05/2026
Full time
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085
About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details
08/05/2026
Full time
About the job Who we are: Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, and computer networking industries. At Circuit Check, we believe that innovation is a must, and that a challenging and robust environment where the work is consistently new and cutting edge is the best way to foster creativity. If you are ready to further your career in a fast-paced, technology driven organization where our test designs impact products that are used by millions of people around the world every day, then we invite you to join us at Circuit Check.Our design staff includes electrical, software, mechanical engineers, and project managers. Our systems are supported by staff throughout the United States, Canada, Mexico, Europe, Malaysia, and China. Primary Objective Lead the strategic development and growth of Circuit Check's most significant customer relationships in the AI/ML data center infrastructure market. Architect and execute multi-year account strategies that drive large-scale program wins, deepen executive-level partnerships, and position the company as the preferred technology partner for hyperscale and enterprise AI customers. This role does not carry a traditional sales quota; compensation includes bonus objectives tied to winning new large customers, capturing major programs, and expanding strategic account revenue. Major Areas of Accountability Strategic Account Leadership Develop and own multi-year strategic account plans for the company's largest AI/ML infrastructure customers, anticipating market shifts and positioning ahead of competitive threats Analyze customer technology roadmaps, capital expenditure patterns, and buying dynamics to identify high-value opportunities across GPU test, thermal management, power delivery, and related segments Serve as the primary executive-level interface with strategic accounts, building trusted advisor relationships with VP and C-suite decision-makers at hyperscale cloud providers, AI chipmakers, and data center operators Take decisive ownership of high-stakes negotiations, complex proposals, and multi-million-dollar program pursuits, differentiating Circuit Check solutions Cross-Functional Program Orchestration Coordinate engineering, product management and operations around customer requirements Partner with Product Line Managers to translate customer insights into product roadmap inputs aligned with AI/ML market direction Drive program management cadence for strategic accounts: pipeline reviews, executive business reviews, win/loss analysis, and quarterly assessments Market Intelligence & Growth Strategy Identify patterns in AI/ML technology adoption, supply chain shifts, and customer investment priorities that create strategic openings for Circuit Check Quantify new market opportunities through analysis of TAM, competitive dynamics, segment profitability, and technology adjacencies; present data-supported recommendations to senior leadership Build and maintain industry relationships across the AI/ML ecosystem, including suppliers, contract manufacturers, analysts, and technology partners worldwide International Business Development Develop and execute customer engagement strategies in key AI/ML hubs, with emphasis on Silicon Valley and Taiwan Navigate international business environments including multi-stakeholder decision processes and cultural dynamics across Asia-Pacific Represent the company at international conferences, trade shows, and executive briefings as an authoritative voice on AI/ML infrastructure Sales Team Collaboration & Mentorship Mentor less experienced sales team members on complex deal strategy, multi-stakeholder navigation, and executive engagement Partner with assigned account team members who maintain day-to-day relationships, providing strategic direction while developing their capabilities Collaborate with Sales Leadership to build playbooks and best practices for pursuing large AI/ML infrastructure programs Education & Experience Bachelor's degree in Engineering (Electrical, Mechanical, or related) required; MBA or advanced technical degree preferred 10+ years of progressive experience in strategic account management, business development, or program leadership in semiconductor, electronic hardware, test & measurement, data center infrastructure, or related technology sectors Track record of winning and managing multi-million-dollar programs with complex, multi-stakeholder customer organizations Strongly preferred: executive-level relationships at hyperscale cloud providers; experience in the AI/ML hardware ecosystem (GPU test/validation, liquid cooling, power distribution, rack-scale integration, or related infrastructure) International business experience preferred, especially in the Taiwan semiconductor ecosystem and/or SE Asian manufacturing Knowledge, Skills & Abilities Strategic & Analytical Thinking Ability to see patterns across complex data, customer behaviors, and market signals - and translate insights into actionable strategies and business cases Rigorous analytical skills: financial models, program economics, pricing structures, and competitive intelligence that inform decision-making Thinks several moves ahead - anticipating customer needs, competitive responses, and market evolution Organizational & Execution Leadership Natural ability to orchestrate multiple moving parts - people, timelines, resources, priorities - across complex programs and matrixed organizations Skilled at configuring cross-functional teams for maximum effectiveness, with the program management discipline to track interdependencies and keep engagements on schedule and budget Presence & Influence Commanding executive presence with confidence to lead negotiations, challenge the status quo, and drive decisions in ambiguous situations Willingness to take charge, confront difficult issues directly, and provide clear direction when the path forward is uncertain Exceptional communication skills - compelling narratives, proposals, and presentations for technical and executive audiences Industry & Technical Acumen Deep understanding of the AI/ML data center ecosystem: GPU architectures, training/inference infrastructure, thermal management, power delivery, rack integration, and test/validation Credible in technical discussions with customer engineering teams while maintaining a business-outcome focus; proficient with CRM platforms (Salesforce preferred) Compensation & Performance Structure This role does not carry a traditional sales quota. Compensation includes a competitive base salary plus bonus objectives tied to: Winning new strategic AI/ML customers and capturing large new programs with existing accounts Growth in strategic account revenue and program pipeline value Program execution milestones and customer satisfaction metrics Location & Travel Requirements Open to remote candidates in the United States, with a preference for candidates in the San Francisco Bay Area, California Travel expected up to 50%, including customer visits throughout the Bay Area, across the US, and periodic international travel to Taiwan and SE Asia Must possess a valid passport and ability to obtain required travel visas Physical Requirements These physical requirements must be performed with or without accommodation: Time split between office/home office, customer sites, and travel Ability to sit for extended periods; bend, reach, stoop, and twist as required Heavy computer use; occasional exposure to manufacturing or lab environments Ability to lift and carry up to 25 lbs This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Pay and Benefits This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned. Base pay is only one element of an employee's total compensation at Circuit Check. Employees (and their dependents in most plans) are covered by medical, dental, vision, basic life, short- and long-term disability and accidental death and dismemberment insurance. Employees are able to enroll in Circuit Check's 401k plan, in which the Company will match 50% of your contributions up to 6% with a maximum contribution. Paid time off includes vacation and sick time along with paid holidays. A summary of benefits can be provided by request via email to . Circuit Check, Inc. is proud to be an Equal Opportunity Employer. We do not discriminate based on identity, race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state, or local law. Because Circuit Check is a federal contractor, we participate in the E-Verify program in certain locations, as required by law . click apply for full job details
Midwest Family Mutual Insurance Company
Urbandale, Iowa
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
08/05/2026
Full time
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-
08/05/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is looking for a Technical Product Manager to own the critical bridge between engineering execution and customer-ready software. At Zaden, product direction and delivery discipline are the same job - you'll define and protect MVP scope, drive the roadmap, and own the cadence that ships it. Reporting directly to the CEO, this is an individual contributor role with a clear, direct growth path to Head of Product. We're hiring for the function and the skill, not the title - if you've been doing this work under a different name (Senior PM, Product Lead, Technical Program Manager), we want to hear from you. Note: This position is either hybrid in Huntsville, Alabama or Remote w/ 10-20% travel. Role Responsibilities: Define and hold the MVP cut line for each product - no scope creep, no pre-launch feature drift Own and maintain the product roadmap across the full product portfolio in partnership with engineering Maintain an always-on demo environment; "demo-able in staging" is your definition of done Translate requirements from federal and enterprise customers into prioritized, precise engineering tickets Run structured user research and drive product decisions from evidence, not opinion Hold the honest line between selling the future and demoing the now Coordinate go-to-market timing for each shippable slice with sales and leadership Communicate fluidly in two directions - brief program managers in their language, write precise tickets for developers Required Qualifications: U.S. Citizenship and ability to obtain a security clearance 5+ years of product management or equivalent product delivery experience Demonstrated track record of taking a product from zero to one inside a complex organization with real stakeholders, competing priorities, and constraints Proven experience shipping software to paying customers - you know the difference between "capability exists" and "product is ready to sell" Technical fluency: able to hold scope conversations with engineers, read a pull request, and recognize when "almost done" is actually weeks away Proficiency with roadmap and delivery tools such as Jira, Linear, GitLab, etc Hands-on experience with AI assistants and agentic coding tools (e.g., Claude, Cursor, or Copilot) in daily work Experience in high-stakes, multi-stakeholder, regulated environments (defense, aerospace, government-adjacent, healthcare, finance, or similar) Bachelor's degree in a technical or quantitative field (computer science, software or systems engineering, information systems, electrical or mechanical engineering) or equivalent hands-on product experience Preferred Qualifications: Active security clearance Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold into government Experience delivering against government contract schedules or SBIR milestones Background in aerospace, defense tech, or engineering automation software Exposure to MBSE, systems engineering, or model-based workflows Familiarity with MBSE/SysML tooling such as Cameo/MagicDraw or SysML v2 Proficiency with product analytics tools such as Amplitude or Mixpanel, plus enough SQL to pull your own answers Experience with design and collaboration tools: Figma, Miro, Confluence, or Notion Cloud platform experience with AWS or Azure (GovCloud a plus) Master's degree in a technical field or MBA with a technology focus Product or agile certification (CSPO, Pragmatic Institute, or SAFe) or cloud certification (AWS or Azure) Expected Compensation: $150,000k-$170,000k/yr Compensation details: 00 Yearly Salary PIdaac27d6-
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
08/05/2026
Full time
This is where your work makes a difference. At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job-you will find purpose and pride. Where Your Purpose Accelerates Our Mission As a Senior Remote Upgrade Engineer within Baxter Care Communications, you'll help healthcare organizations maintain and modernize the communication systems that support patient care. This is where your technical expertise directly impacts system reliability, clinical workflows, and customer success. In this role, you'll assess existing customer environments, execute complex software and infrastructure upgrades, and ensure Baxter Care Communications solutions continue to operate securely and effectively. Your work will support healthcare facilities as they adopt new technologies, enhance performance, and maximize the value of their Baxter investments. Your Team The Care Communications team delivers clinical communication, workflow automation, and mobile communication solutions to healthcare organizations. The team partners closely with Product Development, Technical Support, Services, and customer IT departments to deploy and maintain solutions that enable effective communication across healthcare environments. What You'll Do Assess existing Care Communications deployments and develop upgrade plans based on software, hardware, network, and integration requirements. Execute upgrades across Windows and Linux-based platforms, application servers, databases, and proprietary Baxter hardware. Configure and validate networking components including TCP/IP, routing, switching, VLANs, wireless technologies, and security controls. Support technical integrations involving customer infrastructure, middleware, clinical systems, and third-party applications. Troubleshoot and resolve complex issues involving operating systems, databases, networks, applications, and connected devices. Perform system verification and testing activities to confirm performance, reliability, and functionality following upgrades. Develop and maintain technical documentation, upgrade procedures, and deployment standards. Contribute to process improvement initiatives that increase upgrade quality, efficiency, and consistency. What You'll Bring Bachelor's degree in engineering, Computer Science, Information Technology, or a related field, or 4+ years of equivalent experience in software, systems administration, or networking. Experience deploying, upgrading, and supporting Microsoft Windows Server environments, SQL Server, IIS, and associated enterprise systems. Experience deploying, configuring, and supporting Linux-based environments, including Kubernetes platforms. Knowledge of networking concepts including TCP/IP, IP routing, switching, VLANs, OSI model, client-server architecture, and network security. Experience configuring, troubleshooting, and supporting Windows and Linux operating systems in production environments. Experience in at least two of the following technical areas: SQL, scripting, reporting tools, or analytics platforms Networking (routing, switching, security) Enterprise hardware, storage, or server infrastructure Middleware platforms HL7 integrations Microsoft Windows Linux and Kubernetes Enterprise wireless networking Knowledge of Wi-Fi technologies and related security protocols. Ability to travel up to 25%. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $80,000 - $110,000. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. US Benefits at Baxter (except for Puerto Rico) This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits Baxter Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Know Your Rights: Workplace Discrimination is Illegal Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
Job Description Job Description This role requires you to be in our San Francisco office (Atherton near Palo Alto). The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Seeking For We care about how you think, not how you keyword-match 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count Familiarity with agent development and RAG Strong systems design and debugging instincts Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools Willingness to travel, mostly in California Bonus Points For On-prem deployment experience in enterprise or air-gapped environments Prior field engineering, solutions engineering, or customer-facing technical roles Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -
08/05/2026
Full time
Job Description Job Description This role requires you to be in our San Francisco office (Atherton near Palo Alto). The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Seeking For We care about how you think, not how you keyword-match 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count Familiarity with agent development and RAG Strong systems design and debugging instincts Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools Willingness to travel, mostly in California Bonus Points For On-prem deployment experience in enterprise or air-gapped environments Prior field engineering, solutions engineering, or customer-facing technical roles Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -
SHD Composite Materials Inc
Mooresville, North Carolina
Aerospace Business Development Manager Job Title: Aerospace Business Development Manager Reports To: Senior Vice President - Commercial Location: Mooresville, NC Travel: At least 50% domestic and international travel required Salary: Competitive Salary + Performance Bonus Overview SHD Composites is a global leader in advanced composite materials, supplying innovative prepreg and composite solutions to the aerospace, defense, automotive, industrial, and renewable energy sectors. As we continue to expand our aerospace presence, we are seeking a dynamic and commercially driven Aerospace Business Development Manager to identify new growth opportunities, develop strategic customer relationships, and drive revenue growth across commercial aviation, defense, space, and emerging aerospace markets. This position is ideal for a motivated professional who combines deep aerospace industry knowledge with a proven track record of developing new business, managing complex technical sales cycles, and building long-term customer partnerships. Key Responsibilities Business Development & Revenue Growth Identify, develop, and secure new business opportunities within commercial aerospace, defense, space, and emerging aviation sectors. Develop and execute strategic sales plans to achieve revenue targets and market expansion objectives. Manage the full sales lifecycle, including lead generation, qualification, proposal development, contract negotiation, and business closure. Build and maintain a robust sales pipeline through prospecting, networking, and industry engagement. Target and engage key decision-makers within aerospace OEMs, Tier 1 suppliers, MRO organizations, and emerging aerospace companies. Collaborate closely with regional sales team. Customer & Market Engagement Develop and maintain strong relationships with customers, industry stakeholders, and strategic partners. Serve as the primary commercial contact for aerospace accounts and growth opportunities. Monitor industry trends, customer needs, and market developments to identify new applications for advanced composite materials. Represent SHD Composites at trade shows, technical conferences, customer meetings, and industry events. Promote SHD's capabilities and value proposition within the aerospace and defense sectors. Technical Sales Support Collaborate closely with Engineering, R&D, Manufacturing, Quality, and Operations teams to align customer requirements with SHD's product capabilities. Support customers through technical discussions, material selection, product demonstrations, and proposal development. Promote advanced composite solutions including prepregs, carbon fiber systems, structural composites, tooling materials, and engineered solutions. Assist with qualification programs and customer onboarding activities. Define future product requirements for sector engagement Strategic Planning & Market Development Analyze market trends, competitive activity, and emerging technologies to support business growth strategies. Identify opportunities in next-generation aerospace applications, including sustainable aviation, advanced air mobility, eVTOL, UAVs, electrification, and space technologies. Develop long-term account strategies and market penetration plans. Provide regular sales forecasts, pipeline updates, and market intelligence to senior leadership. Contract & Partnership Management Lead commercial negotiations involving pricing, contracts, supply agreements, and long-term customer partnerships. Support strategic partnership initiatives, joint development programs, and collaborative projects. Ensure customer requirements are effectively communicated throughout the organization. Maintain awareness of aerospace quality, regulatory, and customer requirements including AS9100 and NADCAP standards. Qualifications Required Minimum 5 years of experience in business development, sales, account management, or commercial leadership within the aerospace industry. Demonstrated success in generating new business and achieving revenue growth targets. Strong understanding of aerospace supply chains, OEMs, Tier 1 suppliers, and MRO organizations. Knowledge of advanced composite materials, including carbon fiber, prepregs, resin systems, and structural composites. Experience managing complex technical sales processes involving multiple stakeholders. Excellent communication, presentation, negotiation, and relationship-building skills. Ability to travel extensively to customer locations, trade shows, and industry events. Preferred Bachelor's degree in Engineering, Aerospace Engineering, Materials Science, Business, or a related field. Experience working directly with aerospace OEMs such as Boeing, Airbus, Lockheed Martin, Northrop Grumman, Bell, Gulfstream, Bombardier, or major Tier 1 suppliers. Understanding of aerospace certification requirements and quality systems. Knowledge of manufacturing processes including autoclave curing, RTM, filament winding, compression molding, automated fiber placement, or additive manufacturing. Experience within composite materials, advanced manufacturing, aerospace materials, or engineered products industries. Competencies Strategic Thinking Business Acumen Technical Sales Expertise Customer Relationship Management Negotiation & Influencing Skills Market Analysis Communication & Presentation Skills Cross-Functional Collaboration Results Orientation Problem Solving Planning Use of Microsoft Office platform software CRM usage Why Join SHD Composites? At SHD Composites, you will have the opportunity to work with industry-leading composite technologies that support some of the world's most advanced aerospace programs. We offer a collaborative environment, opportunities for professional growth, competitive compensation, and the chance to make a direct impact on the future of aerospace innovation. SHD Composites is an Equal Opportunity Employer and values diversity in the workplace. Compensation details: 00 Yearly Salary PI3bc3e6-
08/05/2026
Full time
Aerospace Business Development Manager Job Title: Aerospace Business Development Manager Reports To: Senior Vice President - Commercial Location: Mooresville, NC Travel: At least 50% domestic and international travel required Salary: Competitive Salary + Performance Bonus Overview SHD Composites is a global leader in advanced composite materials, supplying innovative prepreg and composite solutions to the aerospace, defense, automotive, industrial, and renewable energy sectors. As we continue to expand our aerospace presence, we are seeking a dynamic and commercially driven Aerospace Business Development Manager to identify new growth opportunities, develop strategic customer relationships, and drive revenue growth across commercial aviation, defense, space, and emerging aerospace markets. This position is ideal for a motivated professional who combines deep aerospace industry knowledge with a proven track record of developing new business, managing complex technical sales cycles, and building long-term customer partnerships. Key Responsibilities Business Development & Revenue Growth Identify, develop, and secure new business opportunities within commercial aerospace, defense, space, and emerging aviation sectors. Develop and execute strategic sales plans to achieve revenue targets and market expansion objectives. Manage the full sales lifecycle, including lead generation, qualification, proposal development, contract negotiation, and business closure. Build and maintain a robust sales pipeline through prospecting, networking, and industry engagement. Target and engage key decision-makers within aerospace OEMs, Tier 1 suppliers, MRO organizations, and emerging aerospace companies. Collaborate closely with regional sales team. Customer & Market Engagement Develop and maintain strong relationships with customers, industry stakeholders, and strategic partners. Serve as the primary commercial contact for aerospace accounts and growth opportunities. Monitor industry trends, customer needs, and market developments to identify new applications for advanced composite materials. Represent SHD Composites at trade shows, technical conferences, customer meetings, and industry events. Promote SHD's capabilities and value proposition within the aerospace and defense sectors. Technical Sales Support Collaborate closely with Engineering, R&D, Manufacturing, Quality, and Operations teams to align customer requirements with SHD's product capabilities. Support customers through technical discussions, material selection, product demonstrations, and proposal development. Promote advanced composite solutions including prepregs, carbon fiber systems, structural composites, tooling materials, and engineered solutions. Assist with qualification programs and customer onboarding activities. Define future product requirements for sector engagement Strategic Planning & Market Development Analyze market trends, competitive activity, and emerging technologies to support business growth strategies. Identify opportunities in next-generation aerospace applications, including sustainable aviation, advanced air mobility, eVTOL, UAVs, electrification, and space technologies. Develop long-term account strategies and market penetration plans. Provide regular sales forecasts, pipeline updates, and market intelligence to senior leadership. Contract & Partnership Management Lead commercial negotiations involving pricing, contracts, supply agreements, and long-term customer partnerships. Support strategic partnership initiatives, joint development programs, and collaborative projects. Ensure customer requirements are effectively communicated throughout the organization. Maintain awareness of aerospace quality, regulatory, and customer requirements including AS9100 and NADCAP standards. Qualifications Required Minimum 5 years of experience in business development, sales, account management, or commercial leadership within the aerospace industry. Demonstrated success in generating new business and achieving revenue growth targets. Strong understanding of aerospace supply chains, OEMs, Tier 1 suppliers, and MRO organizations. Knowledge of advanced composite materials, including carbon fiber, prepregs, resin systems, and structural composites. Experience managing complex technical sales processes involving multiple stakeholders. Excellent communication, presentation, negotiation, and relationship-building skills. Ability to travel extensively to customer locations, trade shows, and industry events. Preferred Bachelor's degree in Engineering, Aerospace Engineering, Materials Science, Business, or a related field. Experience working directly with aerospace OEMs such as Boeing, Airbus, Lockheed Martin, Northrop Grumman, Bell, Gulfstream, Bombardier, or major Tier 1 suppliers. Understanding of aerospace certification requirements and quality systems. Knowledge of manufacturing processes including autoclave curing, RTM, filament winding, compression molding, automated fiber placement, or additive manufacturing. Experience within composite materials, advanced manufacturing, aerospace materials, or engineered products industries. Competencies Strategic Thinking Business Acumen Technical Sales Expertise Customer Relationship Management Negotiation & Influencing Skills Market Analysis Communication & Presentation Skills Cross-Functional Collaboration Results Orientation Problem Solving Planning Use of Microsoft Office platform software CRM usage Why Join SHD Composites? At SHD Composites, you will have the opportunity to work with industry-leading composite technologies that support some of the world's most advanced aerospace programs. We offer a collaborative environment, opportunities for professional growth, competitive compensation, and the chance to make a direct impact on the future of aerospace innovation. SHD Composites is an Equal Opportunity Employer and values diversity in the workplace. Compensation details: 00 Yearly Salary PI3bc3e6-
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors • Performing on-call duties and participating in scheduled maintenance and change management activities • Contributing to documentation and process improvement initiatives based on your analysis of operational issues • Helping to train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Working in cramped and/or elevated locations • Bending, lifting, stretching, and reaching • Standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • Work in a noisy environment • Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • Solve problems at their root and step back to understand the broader context • Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Umatilla - 27.00 - 48.00 USD hourly
08/05/2026
Full time
Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. is position. Key job responsibilities • Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required • Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors • Performing on-call duties and participating in scheduled maintenance and change management activities • Contributing to documentation and process improvement initiatives based on your analysis of operational issues • Helping to train and onboard new team members Physical requirements: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Working in cramped and/or elevated locations • Bending, lifting, stretching, and reaching • Standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation • Work in a noisy environment • Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: • Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution • Solve problems at their root and step back to understand the broader context • Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Umatilla - 27.00 - 48.00 USD hourly
Job Description Job Description Position Overview We are seeking an experienced developer with a strong understanding of options theory and derivatives pricing who can translate quantitative research into production trading systems. The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the candidate will transform theoretical pricing models into practical, production-ready implementations, making sound engineering decisions where theory and real-world constraints diverge. This role provides significant ownership over the architecture, design, and implementation of the firm's core pricing technology. Key Responsibilities Design and implement real-time theoretical pricing models for options Design and implement numerical methods that balance theoretical accuracy with production performance Improve pricing accuracy, computational efficiency, and performance under high-throughput market conditions Work with traders and quantitative researchers to implement and refine theoretical pricing models Participate in architecture design decisions related to scalability, latency, resiliency, and data integrity Collaborate with engineering and trading teams to define technical requirements and deliver production-quality software Required Qualifications Strong understanding of options pricing theory and derivatives markets Experience implementing quantitative pricing models in production software Strong background in numerical methods, optimization, and computational mathematics Extensive experience developing production trading systems in C++ Experience working with APIs, multithreaded systems, and low-latency applications Strong analytical and problem-solving skills with the ability to understand complex software systems and quantitative models Ability to work independently in a fast-moving development environment Ability to balance quantitative rigor with practical engineering constraints when implementing production trading systems
08/05/2026
Full time
Job Description Job Description Position Overview We are seeking an experienced developer with a strong understanding of options theory and derivatives pricing who can translate quantitative research into production trading systems. The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the candidate will transform theoretical pricing models into practical, production-ready implementations, making sound engineering decisions where theory and real-world constraints diverge. This role provides significant ownership over the architecture, design, and implementation of the firm's core pricing technology. Key Responsibilities Design and implement real-time theoretical pricing models for options Design and implement numerical methods that balance theoretical accuracy with production performance Improve pricing accuracy, computational efficiency, and performance under high-throughput market conditions Work with traders and quantitative researchers to implement and refine theoretical pricing models Participate in architecture design decisions related to scalability, latency, resiliency, and data integrity Collaborate with engineering and trading teams to define technical requirements and deliver production-quality software Required Qualifications Strong understanding of options pricing theory and derivatives markets Experience implementing quantitative pricing models in production software Strong background in numerical methods, optimization, and computational mathematics Extensive experience developing production trading systems in C++ Experience working with APIs, multithreaded systems, and low-latency applications Strong analytical and problem-solving skills with the ability to understand complex software systems and quantitative models Ability to work independently in a fast-moving development environment Ability to balance quantitative rigor with practical engineering constraints when implementing production trading systems
Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details
08/05/2026
Full time
Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details
Job Description Job Description Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments. We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks. This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments. What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware. Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor. This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines. If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you. Responsibilities Design and develop intelligent robotic systems powered by modern AI and machine learning techniques Build scalable training pipelines for embodied AI and robot learning applications Develop production-grade robotics software in Python and related frameworks Train and deploy learning-based robotic policies using reinforcement learning and imitation learning approaches Integrate AI models with physical robot actuators, camera systems, and sensor pipelines Implement robotics control algorithms, kinematics, dynamics, and sensor fusion systems Work with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platforms Optimize low-latency inference and control systems for real-world robotic deployment Collaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into production Contribute to the architecture of next-generation embodied AI systems Requirements 5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systems Bachelor's degree in Computer Science, Artificial Intelligence or relevant field Strong Python programming skills with experience building scalable production systems Hands-on experience building, training, and deploying machine learning systems for robotics applications Deep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorch Strong understanding of robotics fundamentals, including: - robot control systems - kinematics and dynamics - perception and sensor fusion - camera and tactile sensor integration Experience with robotics middleware such as ROS or ROS2 Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platforms Strong debugging and systems engineering skills across software and hardware boundaries Experience deploying robotics systems into real-world physical environments Preferred Qualifications Experience with humanoid robotics or manipulation systems Background in autonomous systems or embodied foundation models Experience with GPU acceleration and distributed training systems Familiarity with synthetic data generation and sim-to-real transfer techniques Experience optimizing robotics systems for edge or embedded deployment Benefits Why Join US Get hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulation. Research dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasks. Build Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwide. Work on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behavior. Collaborate with a highly technical, fast-moving research/engineering team. Help shape a new robotics effort from its earliest stage. Samsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees: Top-notch medical, dental, vision and prescription fully covered for You and Your family Wellness program Parental leave 401K match and savings plan Flexible spending accounts Life insurance Paid Holidays Paid Time off Additional perks The base salary range for this Mountain View, CA role is $200,000 to $270,000. Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package-which may include performance bonuses, and comprehensive benefits-during the hiring process. Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.
08/05/2026
Full time
Job Description Job Description Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments. We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks. This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments. What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware. Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor. This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines. If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you. Responsibilities Design and develop intelligent robotic systems powered by modern AI and machine learning techniques Build scalable training pipelines for embodied AI and robot learning applications Develop production-grade robotics software in Python and related frameworks Train and deploy learning-based robotic policies using reinforcement learning and imitation learning approaches Integrate AI models with physical robot actuators, camera systems, and sensor pipelines Implement robotics control algorithms, kinematics, dynamics, and sensor fusion systems Work with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platforms Optimize low-latency inference and control systems for real-world robotic deployment Collaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into production Contribute to the architecture of next-generation embodied AI systems Requirements 5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systems Bachelor's degree in Computer Science, Artificial Intelligence or relevant field Strong Python programming skills with experience building scalable production systems Hands-on experience building, training, and deploying machine learning systems for robotics applications Deep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorch Strong understanding of robotics fundamentals, including: - robot control systems - kinematics and dynamics - perception and sensor fusion - camera and tactile sensor integration Experience with robotics middleware such as ROS or ROS2 Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platforms Strong debugging and systems engineering skills across software and hardware boundaries Experience deploying robotics systems into real-world physical environments Preferred Qualifications Experience with humanoid robotics or manipulation systems Background in autonomous systems or embodied foundation models Experience with GPU acceleration and distributed training systems Familiarity with synthetic data generation and sim-to-real transfer techniques Experience optimizing robotics systems for edge or embedded deployment Benefits Why Join US Get hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulation. Research dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasks. Build Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwide. Work on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behavior. Collaborate with a highly technical, fast-moving research/engineering team. Help shape a new robotics effort from its earliest stage. Samsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees: Top-notch medical, dental, vision and prescription fully covered for You and Your family Wellness program Parental leave 401K match and savings plan Flexible spending accounts Life insurance Paid Holidays Paid Time off Additional perks The base salary range for this Mountain View, CA role is $200,000 to $270,000. Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package-which may include performance bonuses, and comprehensive benefits-during the hiring process. Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
08/05/2026
Full time
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
08/05/2026
Full time
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.