Soc Architecture And Design Engineer in United States

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking talented Physical Design Engineers to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team. This role is hybrid , based out of Austin, TX, Santa Clara, CA or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts. Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration. Strong problem solver who excels at debugging complex issues across design hierarchies. Collaborative team player who thrives in fast-paced, technically challenging environments. What We Need BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs. Expertise with industry-

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a talented Physical Design Engineer to implement high-performance blocks for our industry-leading CPU and AI/ML architectures. You'll own the complete implementation flow from synthesis to tapeout, working alongside world-class engineers to push the boundaries of performance, power, and area. If you're passionate about crafting silicon that powers the future of AI computing and thrive on solving complex design challenges, we want you on our team. This role is hybrid, based out of Austin, TX or Santa Clara, CA or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts. Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration. Strong problem solver who excels at debugging complex issues across design hierarchies. Collaborative team player who thrives in fast-paced, technically challenging environments. What We Need BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs. Expertise with industry-stan

About the team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

Job Details: Job Description: Do Something Wonderful At Intel, we put silicon at the center of the world’s most meaningful innovations. From personal computing and AI to cloud-scale data centers and edge platforms, our processors power technologies that touch billions of lives. If you’re passionate about building world-class silicon at massive scale, we want to build the future with you. The Team You’ll join Intel’s All Cores Engineering (ACE) organization, the team responsible for designing and delivering Intel’s industry‑leading CPU cores. Within ACE, the Atom group focuses on high‑efficiency, performance‑per‑watt optimized cores that enable everything from client platforms to emerging edge and scalable solutions. This is a hands‑on senior engineering role with direct impact on next‑generation CPU silicon. What You’ll Do As a Senior CPU Design Verification Engineer you will play a critical role in ensuring architectural correctness, functional robustness, and power‑efficient performance of Intel’s Atom CPU designs before first silicon. Key responsibilities include but not limited to the following: Lead pre‑silicon functional verification of complex CPU and SoC logic to ensure full compliance with architectural and microarchitectural specifications. Develop and execute verification plans, testbenches, and SystemVerilog/UVM environments, ensuring comprehensive functional and coverage closure. Define, run, and analyze system‑level simulations to uncover functional, performance, power, and corner‑case issues. Debug and root‑cause complex RTL, microarchitecture, and integration issues; drive issues to resolution with design teams. Collaborate cross‑functionally with CPU architects, RTL de

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection en

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch Guide customer onboarding through co-development working sessions and assist when they run into roadblocks Write automation and design architecture for deployment templates Manage the operation of implementation projects Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience Who You Are: Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes). Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc… Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures Successful track record with 5+ years exper

The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Robotics, Automotive, and Embedded markets. We work closely across functions to deliver chips that change what is possible. System Integration sits at the intersection of all of them. It is the layer where every architecture, design, software, and manufacturing decision meets reality. When something breaks late in a program, it usually breaks here first. We are hiring a Senior Manager to lead this team in the US and partner closely with teams globally. Your work will sit on the critical path of every NVIDIA silicon program, and the bar you set for system integration is the bar we ship to! The two hardest, highest-leverage problems in this seat: Find critical silicon issues earlier — often before software is production-ready. Left-shifting post-silicon coverage is the highest-value thing System Integration can do. Standing up wide-area testing as a repeatable capability is a core part of the role. Keep programs on milestone when upstream dependencies slip. Validation plans collide with reality every program! The team needs new strategies, not just contingency plans, to keep moving when software, firmware, or methodology slip. You will design and run those strategies. What you’ll be doing: Plan and execute post-silicon feature integration, PVT validation, and wide-area testing across NVIDIA’s GPU, SoC, and CPU programs. Build wide-area and in-system test as a repeatable capability that shifts post-silicon coverage left, so issues surface before we are production-ready. Lead resolution of the most complex system-level issues, RMAs, and HW/SW interaction problems with creative workarounds and focused lab experimentation. Deve

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly and successfully. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a Senior Services Architect focused on Security and Cloud SIEM, you will help customers design, implement, and operationalize Datadog’s security capabilities across cloud, infrastructure, application, and log data sources. You will lead structured, outcome-driven professional services engagements delivered through a day-based professional services delivery model, partnering directly with customers through co-development working sessions, architecture workshops, implementation planning, and operational handoff. This role is ideal for someone who combines customer-facing consulting experience with strong cybersecurity knowledge, hands-on Cloud SIEM implementation skills, and an understanding of security control frameworks such as NIST 800-53, the NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and guide execution of Datadog implementations, focusing on Security and Cloud SIEM deployment, including discovery, requirements gathering, technical architecture, deployment planning, and launch. Partner with customers to map security requirements, controls, and monitoring objectives to Datadog capabilities, including frameworks such as NIST 800-53, NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. Advise customers on security data strategy, including log source prioritization, parsing, normalizat

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC+GPU use cases Collaborate with our EDA partners to align on customer-facing technologies Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas What we need to see: Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5+ years of relevant work experience. Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST) Computer Architecture background with experience in modelling wit

Job Details: Job Description: This position is in the Silicon and Platform Engineering, Platform and Experience Architecture, PXA team. This team is responsible for defining experience driven client platforms that delight customers and drive business success. This role is for the Platform Architecture Manager and leader of the Platform Workflow and Competitive Analysis team which exists to translate outside-in insights into platform requirements that define winning client PC experiences. Under a single-umbrella of leadership, PWCAs responsibilities are focused on integrating UX research, ecosystem engagement, competitive analysis, UX workflow development, and data collection into a single operating model that improves PXA's ability to make fast, evidence-based architecture and roadmap decisions. PWCA integrates diverse functions and expertise to uncover insights and translate a data-backed vision into actionable recommendations for complex technology and product roadmap decisions. Its leader must build a cohesive team, foster a strong culture, and establish a decision-making framework that aligns diverse projects and expertise in an open-ended environment requiring long-term, multidisciplinary research and analysis. The qualifications below reflect the experience and capabilities needed to succeed in this role. Experience Experienced managing 10-20 person teams with varied deep areas of expertise Intuitively grasps the unique timelines of IP, SOC, and Platform development and the key moments of intercepting different inputs into the development cycles Proven ability to apply user experience research methods and lead the collection, synthesis, and management of insights from users, customers, and ecosystem partners to inform platform and roadmap decisions Proven experience leading competitive analysis acro

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit’s ecosystem is powered by an expanding array of external services and essential AI model partners. As our lead for Security Vendor Risk & Contract Reviews, you will architect and execute a risk management program focused on substantive evaluation rather than just processing checklists. You’ll analyze SOC 2 documentation, security assessments, and system architectures to determine actual risk profiles, collaborating with our Legal team to secure necessary contractual protections. This role reports to the Head of Security GRC and involves high-impact partnerships across Legal, Engineering, and Product teams. What You'll Do Run substantive third-party risk management (TPRM), independently evaluating real risk, not just processing questionnaire responses Review SOC 2 reports, pen test findings, and architecture documentation to form an independent view of vendor risk, extending the same rigor to AI/model providers Partner with Legal on vendor and AI contract terms, including DPAs, subprocessor agreements, and AI-specific provisions Review contracts for non-standard security language when flagged by Legal or deal desk, and recommend redlines Maintain the vendor and AI/model risk register, feeding findings into the company's master risk register Enable sales through maturing the customer trust program Build the capability for continuous monitoring of vendor ecosystem Required Skills & Experience 8+ years in third-party/vendor risk management, security risk, or a related GRC role Demonstrated ability to independently assess vendor risk rather than relying on questionnaire responses alone, fluent in reading SOC 2 reports, ISO certificates, pen test summaries, and architecture documentation Experi

We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter Provides enterprise-level technical leadership for cloud shared services and related connected-care ecosystems. Collaborates with engineering, product, and business leaders to shape long-term architectural strategy, establish technical standards, and guide the evolution of secure, cloud-native services that support multiple products, regions, and business domains. Serves as a senior technical leader for distributed systems, GraphQL and API architecture, multi-region cloud strategy, service interoperability, scalability, security, resiliency, observability, SOC 2 readiness, and operational excellence. Partners closely with executive leadership, product management, cybersecurity, quality, regulatory, operations, and engineering teams to align technology investments, architectural decisions, and platform capabilities with business objectives and sustained growth. <span style="color:

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a Developer Technology Engineer you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to accelerate RTX & DGX SoC performance for agentic use. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. What you'll be doing: Own key engagements with our fast-paced developer ecosystem partners, optimizing their applications to deliver outstanding end-to-end performance on RTX and DGX SoCs. Take ownership of performance optimization for compute-intensive CPU, AI, and 3D graphics workloads, working with domain experts to identify bottlenecks and implement effective solutions. Work across system software, GPU driver, architecture, and NVIDIA Research teams to influence next-generation, high-performance SoC platforms by bringing real-world workflows and actionable insights from partner and customer needs. Provide technical guidance and mentorship to junior engineers while contributing to an inclusive and high-performing team environment. What we need to see: BS or MS degree in Computer Science, Engineering, Mathematics or related degree (or equivalent experience) 5&#43; years of respective work experience as software developer Proficiency in C/C&#43;&#43;, Python, software

Job Details: Job Description: As a Senior Power and Performance (PnP) Engineer, you will be responsible for PnP product execution focused on measurements, analysis, and projections/estimates of Intel's unlaunched notebook and desktop products. Based on your technical knowledge of both Intel and the competition, you will help influence OEM customers, internal marketing teams, internal engineering teams, debug Intel silicon/platform on PnP issues, and be an integral part for Intel product launches. Core responsibilities to include following: Measure, analyze, and debug workloads to call out any power and/or performance gaps and close with internal engineering teams/architects Measure and analyze SoC/CPU and platform power on a rail by rail basis and debug any issues/gaps Align with other internal engineering teams and architects to ensure there is consensus on power and performance projections/estimates/measurements for both internal and external communication Guide, educate, and influence internal engineering teams, field account teams, and marketing teams on power and performance positioning of Intel products Create power and performance estimates on upcoming Intel products based on workloads to aid marketing decisions and help set internal KPI targets Own the publication of the Power Performance Guide (PPG) collateral to help guide OEM customers Bring up full test platform to enable both power and performance measurements including setup, calibration, and measurements. Qualifications: You mus