AI Systems Engineer (OCI/AI Infrastructure)

Emerson; Nashville (TN); On-site; USD 97,000 - 306,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Short/long term disability

Life insurance

401(k) with company match

Paid time off and vacation

Paid holidays

Paid parental leave

Adoption assistance

Employee stock purchase plan

Voluntary benefits

Job summary

Oracle is seeking an AI Systems Engineer to evaluate and bring up next-generation GPU and AI accelerator platforms for OCI, enabling AI training and inference software stacks in a lab environment.

You will identify workload bounds, debug hardware/software integration issues, design experiments, and develop data-driven insights that explain system behavior beyond benchmarks. This role focuses on deep systems engineering for high-performance AI infrastructure.

Qualifications

• Evaluate and characterize next-generation GPU and AI accelerator platforms for Oracle Cloud Infrastructure (OCI).
• Debug hardware/software integration issues, design experiments, and develop data-driven insights.
• Comparative architecture analysis across GPUs and AI accelerators with actionable recommendations.

Responsibilities

• Evaluate and characterize next-generation GPU and AI accelerator platforms for OCI.
• Debug hardware/software integration issues, design experiments, and develop data-driven insights.
• Compare architectures across GPUs and AI accelerators and translate findings into recommendations for AI training and inference workloads.

Job description

Oracle Hardware Platform Development Engineering is seeking a highly driven AI Systems Engineer to evaluate and characterize next-generation GPU and AI accelerator platforms for Oracle Cloud Infrastructure (OCI). This is a hands-on engineering role focused on bringing up new hardware platforms, enabling AI training and inference software stacks, running representative workloads, and analyzing system performance under real operating conditions.

The engineer will identify whether workloads are HBM/memory-bandwidth, compute, scale-up, or scale-out bound , while characterizing power, thermals, memory behavior, utilization, scaling, and performance efficiency. Working directly in the lab, you will debug hardware/software integration issues, design and execute experiments, and develop data-driven insights that explain system behavior beyond benchmark results.

A key part of the role is comparative architecture analysis across GPUs and emerging AI accelerators. You will evaluate architectural tradeoffs and translate performance findings into clear, actionable recommendations on which platforms are best suited for specific AI training and inference workloads. You will work closely with internal hardware and software teams as well as technology partners to help shape Oracle’s next generation of high-performance AI infrastructure.

Position Overview:

This position is ideal for someone who loves deep systems engineering, debugging complex hardware–software interactions, and optimizing performance at every layer of the ML stack. You will play a pivotal role in enabling the training and deployment of next-generation LLMs and generative AI models.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• 1. Medical, dental, and vision insurance, including expert medical opinion
• 2. Short term disability and long term disability
• 3. Life insurance and AD&D
• 4. Supplemental life insurance (Employee/Spouse/Child)
• 5. Health care and dependent care Flexible Spending Accounts
• 6. Pre-tax commuter and parking benefits
• 7. 401(k) Savings and Investment Plan with company match
• 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
• 9. 11 paid holidays
• 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• 11. Paid parental leave
• 12. Adoption assistance
• 13. Employee Stock Purchase Plan
• 14. Financial planning and group legal
• 15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5