Why This Job is Featured on The SaaS Jobs
Security architecture has become a core SaaS differentiator as more products run on shared cloud infrastructure and integrate with third party platforms. A SOC Architect role stands out because it sits at the junction of detection engineering, incident response, and platform design, shaping how security operations are instrumented and scaled rather than only reacting to alerts. The remit also implies close alignment with engineering and external partners, which is increasingly common in SaaS environments where vendor ecosystems and workload specific optimizations matter.
For a long term SaaS career, this kind of position builds durable expertise in operational security patterns that transfer across cloud native companies: designing telemetry pipelines, defining controls that map to real product risks, and translating security objectives into technical roadmaps. It also develops the ability to influence across functions, a critical skill when SOC outcomes depend on product, infrastructure, and compliance stakeholders moving in lockstep.
This role tends to suit practitioners who enjoy systems level thinking and can move between strategy and implementation details. It is a strong match for someone motivated by measurable security outcomes, comfortable coordinating with multiple engineering groups, and interested in how security architecture evolves from early concept through production deployment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.
The Scaling team builds robust and scalable software and hardware to support our research efforts. It also offers core development services for mission critical goals and applications.
We’re expanding our team to work more closely with our partners on hardware optimization and co-design, and are looking for engineers who cut across the stack from at scale ML model/workload understanding through system architecture to microarchitecture. This team will be responsible for working with partners to optimize their hardware for our workloads from early concept stage through production.
About the Role
We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence.
You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery.
In this role you will:
Define the architecture and technical roadmap for custom SoCs targeted for edge applications.
Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints.
Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments.
Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs.
Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans.
Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency.
Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases.
Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones.
You might thrive in this role if:
Proven experience defining and delivering complex SoC or ASIC architectures from concept to production.
Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design.
Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management.
Experience working with both internal engineering organizations and external strategic partners.
Ability to lead cross-functional teams in fast-paced, execution-driven environments.
Strong communication skills with the ability to influence technical direction across organizations.
Preferred Qualifications
Experience with edge AI devices, embedded systems, or consumer hardware platforms.
Background in performance modeling, silicon cost optimization, and workload-driven architecture.
Familiarity with advanced process nodes and modern semiconductor development flows.
To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
