About the role
Home/Careers/Edge/Systems Engineer
Applied AI Engineering
Edge/Systems Engineer
These engineers focus on resource-constrained deployments such as edge devices and embedded systems.
Apply for this roleManage an applicationBack to careers
Overview
These engineers focus on resource-constrained deployments such as edge devices and embedded systems.
Responsibilities
Develop edge inference systems: Optimize models for mobile and edge devices. Collaborate with hardware teams: Work with device manufacturers to implement efficient inference solutions. Ensure reliability in constrained environments: Design systems for limited memory and compute. Implement security measures: Protect sensitive data and models on devices.
Qualifications
Bachelor's or master's degree in electrical engineering or computer engineering. Experience with embedded systems, hardware accelerators, and on-device inference.
Equal opportunity
TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.
Engagement pathways and compensation status
TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.
Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway. Educational internship interest requires separate supervision, educational purpose, and legal review. Advisory expressions of interest are not board or formal advisory appointments. Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.
Accessibility and accommodations
For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents.
Posting information
Department Applied AI Engineering
Public role ID TAIRC-ROLE-021
Status Open
Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.
Recruitment privacy
Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.
About TAIRC
The AI Research Center (TAIRC) is an independent, nonprofit research organization advancing trustworthy, safe, and societally beneficial artificial intelligence. We pursue foundational and applied AI research that empowers public systems, informs policy, and accelerates responsible innovation across sectors.
Our mission is to generate high-impact AI insights, frameworks, and tools that support ethical governance, public infrastructure, and government and community use cases. TAIRC convenes interdisciplinary expertise in AI safety, policy, ethical governance, and technical innovation to address complex challenges from AI risk mitigation to transparent, equitable AI deployment.
Anchored in rigorous research methods and collaborative inquiry, TAIRC bridges academia, government, and industry to advance AI science and public good initiatives. Our work emphasizes open research standards, interdisciplinary peer review, and practical solutions that align with national research priorities and societal needs.
Whether contributing to foundational model evaluation, trustworthy AI frameworks, or public sector adoption strategies, TAIRC is dedicated to ensuring AI technologies deliver positive, measurable impact for people and communities worldwide.
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About the role
Home/Careers/Edge/Systems Engineer
Applied AI Engineering
Edge/Systems Engineer
These engineers focus on resource-constrained deployments such as edge devices and embedded systems.
Apply for this roleManage an applicationBack to careers
Overview
These engineers focus on resource-constrained deployments such as edge devices and embedded systems.
Responsibilities
Develop edge inference systems: Optimize models for mobile and edge devices. Collaborate with hardware teams: Work with device manufacturers to implement efficient inference solutions. Ensure reliability in constrained environments: Design systems for limited memory and compute. Implement security measures: Protect sensitive data and models on devices.
Qualifications
Bachelor's or master's degree in electrical engineering or computer engineering. Experience with embedded systems, hardware accelerators, and on-device inference.
Equal opportunity
TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.
Engagement pathways and compensation status
TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.
Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway. Educational internship interest requires separate supervision, educational purpose, and legal review. Advisory expressions of interest are not board or formal advisory appointments. Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.
Accessibility and accommodations
For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents.
Posting information
Department Applied AI Engineering
Public role ID TAIRC-ROLE-021
Status Open
Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.
Recruitment privacy
Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.
About TAIRC
The AI Research Center (TAIRC) is an independent, nonprofit research organization advancing trustworthy, safe, and societally beneficial artificial intelligence. We pursue foundational and applied AI research that empowers public systems, informs policy, and accelerates responsible innovation across sectors.
Our mission is to generate high-impact AI insights, frameworks, and tools that support ethical governance, public infrastructure, and government and community use cases. TAIRC convenes interdisciplinary expertise in AI safety, policy, ethical governance, and technical innovation to address complex challenges from AI risk mitigation to transparent, equitable AI deployment.
Anchored in rigorous research methods and collaborative inquiry, TAIRC bridges academia, government, and industry to advance AI science and public good initiatives. Our work emphasizes open research standards, interdisciplinary peer review, and practical solutions that align with national research priorities and societal needs.
Whether contributing to foundational model evaluation, trustworthy AI frameworks, or public sector adoption strategies, TAIRC is dedicated to ensuring AI technologies deliver positive, measurable impact for people and communities worldwide.