Founding Growth Lead drives weekly active user growth through data-driven experiments, ecosystem partnerships like hackathons, and cross-functional collaboration with marketing and GTM. Requires 3-5+ years growth experience in tech, comfort with technical products, and scrappy execution.
Leads team designing high-performance structural components for autonomous aircraft, ensuring integrity, manufacturability, and integration. Requires 8+ years in aerospace structures, CAD proficiency, and team leadership experience.
Leads safety requirements derivation, hazard analysis, and verification for safety-critical airborne software systems, ensuring compliance with DO-178C and related standards. Collaborates across engineering teams to integrate safety into architecture, code, and testing for airworthiness certification.
Manages day-to-day litigation, dispute resolution, regulatory requests, and IP enforcement for an AI company. Partners with General Counsel on strategy, advises cross-functional teams on generative AI legal issues, and supports other legal domains. Requires JD, 5+ years litigation experience, and business acumen.
Leads strategy, execution, and improvement of V-BAT internal training program, aligning operations, engineering, and product teams. Requires aviation/UAS training leadership, TPM mindset, and cross-functional program management experience.
Designs and implements flight control laws for X-BAT across flight regimes, builds 6DOF simulations, executes verification including Monte Carlo and HIL, supports flight tests. Requires 3+ years GNC experience on real vehicles, proficiency in C++, MATLAB/Simulink, Python.
Designs and implements flight control laws for X-BAT across all flight phases, builds high-fidelity 6DOF simulations, performs verification including Monte Carlo and HIL testing, supports flight operations, and integrates with cross-functional teams. Requires 5+ years in flight controls/GNC on real vehicles and proficiency in C++, MATLAB/Simulink, Python.
Designs and implements flight control laws for eVTOL aircraft across all flight phases, builds 6DOF simulations, executes verification/validation, supports flight tests, and mentors engineers. Requires 6+ years GNC experience on real vehicles and proficiency in C++, MATLAB/Simulink, Python.
Owns flight control system design, development, and verification for XBAT VTOL aircraft, ensuring stable performance across all flight phases. Leads simulations, testing, integration with vehicle systems, and mentors engineers; requires 10+ years GNC experience on real vehicles.
Performs physical design for AI silicon chips, including synthesis, place & route, timing closure, and verification for high-speed wafer-scale architectures. Requires 10+ years experience with EDA tools and scripting.
Designs novel AI models and training methodologies from first principles on wafer-scale hardware, integrating computational science techniques. Requires PhD-level expertise in ML or related fields, strong publication record, and proficiency in PyTorch/Python.
Leads end-to-end technical programs for AI infrastructure site and data center operations, coordinating across hardware, cloud infra, networks, and facilities. Drives site readiness, incident reviews, metrics, and executive reporting for reliable deployment and scaling. Requires 8+ years TPM experience in infrastructure ops.
Leads RTL design and integration for next-generation wafer-scale AI chips, driving micro-architecture, synthesis, vendor management, and collaboration with verification/physical design teams. Requires 8-15 years experience in high-performance RTL, networking protocols, and Master's degree.
Staff engineer owns architecture of Inference Cloud Platform, building distributed systems for high-QPS AI workloads with focus on availability, latency, reliability, and global scale. Requires 8+ years experience in large-scale cloud systems and backend languages like Go, C++, Python.
Develops and optimizes the Tungsten compiler for Cerebras' wafer-scale AI hardware, designing passes from IR to code generation, co-designing language features, and collaborating on hardware-software integration for AI and scientific workloads. Requires deep compiler expertise and strong C/systems programming.
Principal Engineer leads Inference Cloud Platform, defining architecture for multi-region, high-QPS AI inference systems. Focuses on reliability, performance optimization, production code, and cross-team technical strategy. Requires 10+ years in distributed systems.
Leads engineering for security in large-scale AI clusters with hundreds of wafer-scale accelerators and thousands of servers. Requires 3+ years leadership in distributed systems security, strong Kubernetes and networking expertise, and building secure multi-tenant solutions.
Leads strategic AI model portfolio for Cerebras' inference platform, owning roadmap, partnerships, quality standards, launches, and optimizations. Requires 5+ years PM experience, technical background, and knowledge of open-source AI ecosystems like PyTorch and Hugging Face.
Develops test automation software, GUIs, and reporting portals for manufacturing AI chip products from PCBA to system level. Requires 5+ years experience, bachelor's in CS/EE, and proficiency in C/C++, Python, SQL, and Linux/Windows environments.
Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.
Leads end-to-end hardware program schedules for AI supercomputers, managing engineering improvements, cross-functional collaboration with hardware/software/supply chain teams, risk mitigation, and executive reporting. Requires 8+ years TPM experience in hardware and bachelor's/master's in engineering or related field.
New college grad engineer works at software-hardware interface on kernel design, ASIC performance modeling, system bringup, and validation using Cerebras' wafer-scale AI chips. Requires BS/MS in CS/EE/CE, strong computer architecture background, C++/Python experience.
Designs, implements, and optimizes global WAN networks using leased lines, dark fiber, and advanced routing protocols like BGP for low-latency, high-availability connectivity. Requires 6+ years experience, bachelor's degree, CCIE/JNCIE certs, and expertise in automation tools like Python/Ansible/Terraform.
Leads PCB design from specification to production, handles schematic design, component selection, lab bring-up, and debugging. Requires 5-10 years experience in board design, electrical engineering degree, and skills in digital circuits, power delivery, and Python scripting.
Leads automation and platform engineering for ultra-reliable AI inference infrastructure, architecting self-service GitOps pipelines, observability, and tooling to eliminate toil across datacenters. Requires 8+ years SRE experience with large-scale clusters and tools like Argo CD and Prometheus.
Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.
Leads global data center asset tracking, accounting, and lease management (ASC 842) for AI infrastructure. Partners cross-functionally to optimize processes, ensure compliance, and support IPO readiness. Requires 5+ years experience, CPA preferred, and expertise in ERPs and fixed assets.
Leads IT SRE team ensuring reliability of internal systems like identity, endpoints, collaboration tools, and networking. Builds automation, defines SLOs, manages incidents, and drives IaC practices for high-availability in a scaling AI company. Requires 8+ YOE in SRE/DevOps with leadership.
Leads end-to-end Design Validation Test (DVT) for complex electrical boards and systems, including power delivery, high-speed I/O validation, debug, and root-cause analysis. Requires 8+ years experience in hardware validation, strong EE skills, and lab equipment proficiency.
Owns strategy for measuring harm and safeguard efficacy in production for OpenAI's AI models. Partners with research, engineering, and policy teams to define metrics, roadmaps, and success criteria, representing safety progress to leadership. Requires 6+ years PM experience in AI safety or related fields.
Designs and builds scalable cloud infrastructure platforms powering OpenAI's consumer products, focusing on Kubernetes orchestration, reliability, and growth. Requires 8+ years experience leading large-scale systems with strong systems thinking.
Build scalable systems and data pipelines for security observability, enhancing detection, forensics, and compliance. Requires strong engineering in Python/Golang, Terraform, Azure, and data pipelines with a generalist SRE mindset.
Performance Engineer optimizes infrastructure and application performance for ChatGPT and OpenAI API, focusing on latency, throughput, and efficiency at scale. Requires 7+ years in high-scale systems with expertise in profiling, tracing, and cross-layer optimizations.
AI Support Engineer handles first-line customer issues for AI-powered dev tools, using CS and AI knowledge to troubleshoot, escalate, document, and test products across enterprise environments. Requires 2+ years technical experience, CS degree, and proficiency in Python/Java/Go.
Spring co-op for rising 2027 Electrical Engineering graduates working on autonomous aircraft hardware projects like circuit board design, power electronics, and avionics validation. Requires 2+ years of degree progress, technical fundamentals, and tool experience.
Owns end-to-end deployment and adoption of AI data platform for enterprise customers, guiding technical teams to value, managing relationships, and driving renewals/expansion. Requires 2-8 years in post-sales technical roles with SaaS deployment experience.
Leads enterprise-wide fleet allocation, configuration, and operational prioritization for aircraft division, arbitrating competing demands across customer commitments, tests, and revenue goals. Requires 12+ years in aerospace/defense operations and deep aircraft/mission expertise.
Leads financial planning and analysis for procurement and supply chain operations, building models for budgeting/forecasting, monitoring KPIs, and partnering on cost optimizations. Requires bachelor's in finance-related field and 5-6 years in financial/supply chain analysis.
Develops full-stack Foundry-integrated applications for manufacturing, ERP, MES, and operational analytics, collaborating with production and supply chain teams. Requires 5+ years full-stack experience with React, TypeScript/JavaScript backends, and strong data skills.
Build and maintain financial models, forecasts, and dashboards while automating finance workflows and supporting strategic analysis on pricing, headcount, and growth. Requires 2-4 years in finance roles, quantitative degree, and SQL/Python skills; Bay Area onsite.
Owns and maintains C++ build systems for autonomous aircraft software, improves developer velocity by optimizing CI/CD pipelines, integrates testing with simulations, and implements monitoring to resolve issues quickly. Requires 7+ years experience with deep expertise in build tools and DevOps practices.
Leads technical pre-sales for Voice AI platform, designing solutions, building proof-of-concepts, and partnering with sales to close enterprise deals. Requires 5+ years in technical pre-sales and strong software engineering in Python/JavaScript.
Leads design, analysis, simulation, testing, and integration of fluid and thermal systems for autonomous UAVs and ground platforms. Requires 10+ years experience in fluid/thermal engineering, expertise in modeling tools like MATLAB/Python/Simscape, and CAD like Siemens NX.
Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Software Engineer on X Money team building scalable backend microservices and full-stack features for a global payment network serving 600M+ users. Requires 2+ years in large-scale consumer apps, proficiency in Rust/Go/Python/Java, and distributed systems expertise.
Leads go-to-market for product launches, owns ASO across iOS/Android, and crafts in-product conversion copy for monetization. Requires 5-8+ years in product marketing at high-growth consumer tech firms with strong copywriting and analytical skills.
Owns full-cycle sales to Physical AI teams in robotics, autonomous vehicles, and research enterprises. Builds technical buyer relationships, generates pipeline, closes pilots with 3-7 years B2B SaaS sales experience hitting quota.
Founding sales leader owning full-cycle sales of AI infrastructure platform to mid-market and enterprise AI teams in NYC. Builds brand, network, and pipeline from scratch while driving high-impact deals with technical buyers. Requires 2-5 years B2B SaaS closing experience.
Develops product positioning, messaging, and launch strategies targeting AI/ML engineers and technical buyers. Crafts copy across platforms, optimizes distribution, enables sales with collateral, and drives content like case studies in a PLG-to-enterprise environment. Requires 5+ years in developer tools/AI marketing.
Founding Growth Lead drives weekly active user growth through data-driven experiments, ecosystem partnerships like hackathons, and cross-functional collaboration with marketing and GTM. Requires 3-5+ years growth experience in tech, comfort with technical products, and scrappy execution.
Leads team designing high-performance structural components for autonomous aircraft, ensuring integrity, manufacturability, and integration. Requires 8+ years in aerospace structures, CAD proficiency, and team leadership experience.
Leads safety requirements derivation, hazard analysis, and verification for safety-critical airborne software systems, ensuring compliance with DO-178C and related standards. Collaborates across engineering teams to integrate safety into architecture, code, and testing for airworthiness certification.
Manages day-to-day litigation, dispute resolution, regulatory requests, and IP enforcement for an AI company. Partners with General Counsel on strategy, advises cross-functional teams on generative AI legal issues, and supports other legal domains. Requires JD, 5+ years litigation experience, and business acumen.
Leads strategy, execution, and improvement of V-BAT internal training program, aligning operations, engineering, and product teams. Requires aviation/UAS training leadership, TPM mindset, and cross-functional program management experience.
Designs and implements flight control laws for X-BAT across flight regimes, builds 6DOF simulations, executes verification including Monte Carlo and HIL, supports flight tests. Requires 3+ years GNC experience on real vehicles, proficiency in C++, MATLAB/Simulink, Python.
Designs and implements flight control laws for X-BAT across all flight phases, builds high-fidelity 6DOF simulations, performs verification including Monte Carlo and HIL testing, supports flight operations, and integrates with cross-functional teams. Requires 5+ years in flight controls/GNC on real vehicles and proficiency in C++, MATLAB/Simulink, Python.
Designs and implements flight control laws for eVTOL aircraft across all flight phases, builds 6DOF simulations, executes verification/validation, supports flight tests, and mentors engineers. Requires 6+ years GNC experience on real vehicles and proficiency in C++, MATLAB/Simulink, Python.
Owns flight control system design, development, and verification for XBAT VTOL aircraft, ensuring stable performance across all flight phases. Leads simulations, testing, integration with vehicle systems, and mentors engineers; requires 10+ years GNC experience on real vehicles.
Performs physical design for AI silicon chips, including synthesis, place & route, timing closure, and verification for high-speed wafer-scale architectures. Requires 10+ years experience with EDA tools and scripting.
Designs novel AI models and training methodologies from first principles on wafer-scale hardware, integrating computational science techniques. Requires PhD-level expertise in ML or related fields, strong publication record, and proficiency in PyTorch/Python.
Leads end-to-end technical programs for AI infrastructure site and data center operations, coordinating across hardware, cloud infra, networks, and facilities. Drives site readiness, incident reviews, metrics, and executive reporting for reliable deployment and scaling. Requires 8+ years TPM experience in infrastructure ops.
Leads RTL design and integration for next-generation wafer-scale AI chips, driving micro-architecture, synthesis, vendor management, and collaboration with verification/physical design teams. Requires 8-15 years experience in high-performance RTL, networking protocols, and Master's degree.
Staff engineer owns architecture of Inference Cloud Platform, building distributed systems for high-QPS AI workloads with focus on availability, latency, reliability, and global scale. Requires 8+ years experience in large-scale cloud systems and backend languages like Go, C++, Python.
Develops and optimizes the Tungsten compiler for Cerebras' wafer-scale AI hardware, designing passes from IR to code generation, co-designing language features, and collaborating on hardware-software integration for AI and scientific workloads. Requires deep compiler expertise and strong C/systems programming.
Principal Engineer leads Inference Cloud Platform, defining architecture for multi-region, high-QPS AI inference systems. Focuses on reliability, performance optimization, production code, and cross-team technical strategy. Requires 10+ years in distributed systems.
Leads engineering for security in large-scale AI clusters with hundreds of wafer-scale accelerators and thousands of servers. Requires 3+ years leadership in distributed systems security, strong Kubernetes and networking expertise, and building secure multi-tenant solutions.
Leads strategic AI model portfolio for Cerebras' inference platform, owning roadmap, partnerships, quality standards, launches, and optimizations. Requires 5+ years PM experience, technical background, and knowledge of open-source AI ecosystems like PyTorch and Hugging Face.
Develops test automation software, GUIs, and reporting portals for manufacturing AI chip products from PCBA to system level. Requires 5+ years experience, bachelor's in CS/EE, and proficiency in C/C++, Python, SQL, and Linux/Windows environments.
Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.
Leads end-to-end hardware program schedules for AI supercomputers, managing engineering improvements, cross-functional collaboration with hardware/software/supply chain teams, risk mitigation, and executive reporting. Requires 8+ years TPM experience in hardware and bachelor's/master's in engineering or related field.
New college grad engineer works at software-hardware interface on kernel design, ASIC performance modeling, system bringup, and validation using Cerebras' wafer-scale AI chips. Requires BS/MS in CS/EE/CE, strong computer architecture background, C++/Python experience.
Designs, implements, and optimizes global WAN networks using leased lines, dark fiber, and advanced routing protocols like BGP for low-latency, high-availability connectivity. Requires 6+ years experience, bachelor's degree, CCIE/JNCIE certs, and expertise in automation tools like Python/Ansible/Terraform.
Leads PCB design from specification to production, handles schematic design, component selection, lab bring-up, and debugging. Requires 5-10 years experience in board design, electrical engineering degree, and skills in digital circuits, power delivery, and Python scripting.
Leads automation and platform engineering for ultra-reliable AI inference infrastructure, architecting self-service GitOps pipelines, observability, and tooling to eliminate toil across datacenters. Requires 8+ years SRE experience with large-scale clusters and tools like Argo CD and Prometheus.
Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.
Leads global data center asset tracking, accounting, and lease management (ASC 842) for AI infrastructure. Partners cross-functionally to optimize processes, ensure compliance, and support IPO readiness. Requires 5+ years experience, CPA preferred, and expertise in ERPs and fixed assets.
Leads IT SRE team ensuring reliability of internal systems like identity, endpoints, collaboration tools, and networking. Builds automation, defines SLOs, manages incidents, and drives IaC practices for high-availability in a scaling AI company. Requires 8+ YOE in SRE/DevOps with leadership.
Leads end-to-end Design Validation Test (DVT) for complex electrical boards and systems, including power delivery, high-speed I/O validation, debug, and root-cause analysis. Requires 8+ years experience in hardware validation, strong EE skills, and lab equipment proficiency.
Owns strategy for measuring harm and safeguard efficacy in production for OpenAI's AI models. Partners with research, engineering, and policy teams to define metrics, roadmaps, and success criteria, representing safety progress to leadership. Requires 6+ years PM experience in AI safety or related fields.
Designs and builds scalable cloud infrastructure platforms powering OpenAI's consumer products, focusing on Kubernetes orchestration, reliability, and growth. Requires 8+ years experience leading large-scale systems with strong systems thinking.
Build scalable systems and data pipelines for security observability, enhancing detection, forensics, and compliance. Requires strong engineering in Python/Golang, Terraform, Azure, and data pipelines with a generalist SRE mindset.
Performance Engineer optimizes infrastructure and application performance for ChatGPT and OpenAI API, focusing on latency, throughput, and efficiency at scale. Requires 7+ years in high-scale systems with expertise in profiling, tracing, and cross-layer optimizations.
AI Support Engineer handles first-line customer issues for AI-powered dev tools, using CS and AI knowledge to troubleshoot, escalate, document, and test products across enterprise environments. Requires 2+ years technical experience, CS degree, and proficiency in Python/Java/Go.
Spring co-op for rising 2027 Electrical Engineering graduates working on autonomous aircraft hardware projects like circuit board design, power electronics, and avionics validation. Requires 2+ years of degree progress, technical fundamentals, and tool experience.
Owns end-to-end deployment and adoption of AI data platform for enterprise customers, guiding technical teams to value, managing relationships, and driving renewals/expansion. Requires 2-8 years in post-sales technical roles with SaaS deployment experience.
Leads enterprise-wide fleet allocation, configuration, and operational prioritization for aircraft division, arbitrating competing demands across customer commitments, tests, and revenue goals. Requires 12+ years in aerospace/defense operations and deep aircraft/mission expertise.
Leads financial planning and analysis for procurement and supply chain operations, building models for budgeting/forecasting, monitoring KPIs, and partnering on cost optimizations. Requires bachelor's in finance-related field and 5-6 years in financial/supply chain analysis.
Develops full-stack Foundry-integrated applications for manufacturing, ERP, MES, and operational analytics, collaborating with production and supply chain teams. Requires 5+ years full-stack experience with React, TypeScript/JavaScript backends, and strong data skills.
Build and maintain financial models, forecasts, and dashboards while automating finance workflows and supporting strategic analysis on pricing, headcount, and growth. Requires 2-4 years in finance roles, quantitative degree, and SQL/Python skills; Bay Area onsite.
Owns and maintains C++ build systems for autonomous aircraft software, improves developer velocity by optimizing CI/CD pipelines, integrates testing with simulations, and implements monitoring to resolve issues quickly. Requires 7+ years experience with deep expertise in build tools and DevOps practices.
Leads technical pre-sales for Voice AI platform, designing solutions, building proof-of-concepts, and partnering with sales to close enterprise deals. Requires 5+ years in technical pre-sales and strong software engineering in Python/JavaScript.
Leads design, analysis, simulation, testing, and integration of fluid and thermal systems for autonomous UAVs and ground platforms. Requires 10+ years experience in fluid/thermal engineering, expertise in modeling tools like MATLAB/Python/Simscape, and CAD like Siemens NX.
Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Software Engineer on X Money team building scalable backend microservices and full-stack features for a global payment network serving 600M+ users. Requires 2+ years in large-scale consumer apps, proficiency in Rust/Go/Python/Java, and distributed systems expertise.
Leads go-to-market for product launches, owns ASO across iOS/Android, and crafts in-product conversion copy for monetization. Requires 5-8+ years in product marketing at high-growth consumer tech firms with strong copywriting and analytical skills.
Owns full-cycle sales to Physical AI teams in robotics, autonomous vehicles, and research enterprises. Builds technical buyer relationships, generates pipeline, closes pilots with 3-7 years B2B SaaS sales experience hitting quota.
Founding sales leader owning full-cycle sales of AI infrastructure platform to mid-market and enterprise AI teams in NYC. Builds brand, network, and pipeline from scratch while driving high-impact deals with technical buyers. Requires 2-5 years B2B SaaS closing experience.
Develops product positioning, messaging, and launch strategies targeting AI/ML engineers and technical buyers. Crafts copy across platforms, optimizes distribution, enables sales with collateral, and drives content like case studies in a PLG-to-enterprise environment. Requires 5+ years in developer tools/AI marketing.