AI Infrastructure Engineer
AI Infrastructure Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
JOB DESCRIPTION
Roles and Responsibilities:
Design and architect technical solutions to ensure successful delivery.
Lead the development of proofofconcept projects to assess the functionality performance security and reliability of architectural designs.
Collaborate with engineering teams to comprehend realworld limitations and support the effective implementation of AIOS designs for product development validation and integration.
Define and establish the evolutionary roadmap for AIOS solutions.
Outline and communicate requirements to the development team.
Stay informed about industry trends and analyze competitors technical stacks.
Must Qualifications:
Experience: Over 1 year in software design and development for AI model training inference optimization and deployment.
Knowledge: Indepth handson experience with the latest AI model architectures such as Transformers used in both industry and research.
Projects: Successfully built at least one public AI extension/application/project.
Cloud Expertise: Familiar with cloud infrastructure and training on platforms like Azure AWS etc.
CI/CD: Proficient with CI/CD tools such as GitLab GitHub Jenkins etc.
ML Infrastructure: More than 3 years of experience working with ML infrastructure including PyTorch and TensorFlow.
Programming: Proficient in C/C and Python programming languages a plus.
Skills: Excellent communication skills and strong technical writing proficiency.
Mindset: Highly organized and passionate about delivering highquality software.
Preferred Qualifications:
Experience building ComfyUI extension or Python native apps using SDXL
Understanding of hardware acceleration(Stable Diffusion SAM Mistral Groq etc)
Familiar with LLM and optimization on resource constrained edge devices for inferences
Experience in performance tuning & inference optimization techniques of deep learning models or libraries on hardware architectures.
Indepth knowledge of computer architectures CPU / MPU GPU / NPU.
Solid understanding of embedded / mobile operating systems.
Familiar with microkernel architecture Linux kernel hypervisor middleware and application framework.
Compensation:
The base salary range for this fulltime position in the United States is $163500.00 to $212400.00. The exact salary within this range will be determined based on the candidates work location jobrelated skills experience and relevant education or training.
Please note that the salary figures provided reflect the base salary only and do not include discretionary bonuses equity or benefits.
Benefits:
Medical Plans: CIGNA EPO HSA and Kaiser HMO with $0 for Employee Only Coverage.
Dental and Vision Plans: Options available with $0 paycheck contribution covering you and your eligible dependents including orthodontic coverage.
HSA Contribution: Companypaid Health Savings Account contribution when enrolled in the High Deductible CIGNA medical plan.
Flexible Spending Accounts: Healthcare and Dependent Care Flexible Spending Accounts (FSA).
Retirement Plan: 401(k) with Brokerage Link option.
Insurance Coverage: Companypaid Basic Life AD&D shortterm and longterm disability insurance.
Employee Assistance Program: Access to support services.
Leave: Sick and vacation time 10 paid holidays per year.
Parental Leave: Paid parental leave for the first 8 weeks at full pay (eligible after 90 days of employment).
Disability Leave: Paid disability leave for the first 6 weeks at full pay (eligible after 90 days of employment).
Voluntary Benefits: Voluntary Life and AD&D options for you your spouse/domestic partner and dependent children pet insurance.
Additional Perks: Commuter benefits mobile cell phone credit onsite gym and employee discounts and perks program.
Employment Type
Full Time
