Reliability/DFX Engineer at OpenAI

San Francisco, California, United States

Apply Now

$285,000 – $460,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SemiconductorsIndustries

Requirements

BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack
Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred
Detailed understanding of ML chip and platform architecture and ML workload characteristics is required
Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis

Responsibilities

Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware
Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability
Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams)
Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack
Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI’s requirements and roadmap

Skills

Key technologies and capabilities for this role

DFXDFTReliability EngineeringChip ArchitectureSystem ArchitectureFault ToleranceDigital IPMixed-Signal IPFirmwareAI AcceleratorsSilicon DesignReliability Modeling

Questions & Answers

Common questions about this position

What is the salary range for the Reliability/DFX Engineer position?

The salary range is $285K - $460K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required, along with a detailed understanding of ML chip and platform architecture and ML workload characteristics. Strong fundamentals in reliability modeling and hands-on skills in empirical data analysis are also essential.

What is the team like at OpenAI's Hardware organization?

OpenAI’s Hardware organization develops silicon and system-level solutions for advanced AI workloads, building next-generation AI-native silicon while collaborating closely with software and research partners to co-design hardware integrated with AI models. The team delivers production-grade silicon for supercomputing infrastructure and creates custom design tools and methodologies.

What makes a strong candidate for this Reliability/DFX Engineer role?

A strong candidate will have extensive experience in reliability across the chip/platform stack, hands-on expertise in RTL design and DFT, deep knowledge of ML chip architecture, and skills in reliability modeling and data analysis.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

Land your dream remote job 3x faster with AI

Try Jobo Free