Edge/Systems Engineer

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 [email protected]. 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.

Develop and optimize edge inference systems for resource-constrained deployments on mobile and embedded devices. Collaborate with hardware manufacturers to implement efficient solutions and ensure system reliability and security.

Requires a Bachelor's or Master's degree in electrical or computer engineering. Candidates must have experience with embedded systems, hardware accelerators, and on-device inference.

Identified from the job description. Confirm important requirements above.

• Edge Inference
• Model Optimization
• Embedded Systems
• Hardware Accelerators
• On-device Inference
• System Design
• Security Implementation

• Engineering
• Technology
• Software
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Sep 4, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Entry level