Edge/Systems Engineer

Job summary

Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.

Job details

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.

What you’ll do

Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.

Requirements

A bachelor's or master's degree in electrical engineering or computer engineering is required. Candidates should have experience with embedded systems, hardware accelerators, and on-device inference.

Listed skills

• Embedded Systems · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Edge Inference
• Model Optimization
• Mobile Devices
• Embedded Systems
• Hardware Accelerators
• On-Device Inference
• Hardware Collaboration
• Memory-Constrained System Design
• Compute-Constrained System Design
• Reliability Engineering
• Device Security
• Data Protection

Job areas

• Engineering
• Technology
• Software
• Science & Research