Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.
Forward Deployed Engineer owns technical workstreams for AI implementations in manufacturing, drives customer activation and value delivery, leads demos and user sessions across multiple accounts. Requires 2+ years in enterprise software implementation or consulting with strong technical and client-facing skills.
Sources and builds outbound candidate pipelines for technical roles (engineering, data, product) using AI tools, LinkedIn, and GitHub. Owns sourcing outcomes, experiments with workflows, tracks metrics, and partners with recruiters in a fast-paced startup.
Leads developer relations for generative AI video/image models, owning the full developer funnel, building creative tech communities, producing technical content, and advocating for developer needs to product/engineering teams. Requires 5+ years in DevRel or advocacy, strong coding skills, and deep AI expertise.
Early commercial hire owning top/middle funnel activities: account prioritization, multi-channel outbound prospecting, and partnering with AEs to progress opportunities. Requires 1-3 years customer-facing experience, top performance, and comfort with ambiguity.
Leads go-to-market strategy for enterprise AI platform and LLMs, targeting IT leaders in regulated industries. Develops positioning, sales enablement assets, and narratives around security/compliance features. Requires 6+ years product marketing experience in B2B SaaS platforms.
Builds and operates CI/CD systems, developer workflows, and internal platforms to accelerate engineering velocity for consumer device software across device and cloud. Requires 7+ years experience with deep CI/CD and platform expertise.
Develops kernel performance optimizations, AI-assisted tooling, and observability infrastructure for AI-native hardware. Requires strong low-level systems experience, kernel/accelerator expertise, and familiarity with AI workflows for engineering acceleration.
Senior Performance Engineer benchmarks Cerebras inference performance against competitors for real workloads, measuring metrics like tokens/second and TCO, while modeling competitor pricing to inform sales strategies. Requires 5+ years in ML systems and deep expertise in open-source inference stacks and transformer optimizations.
Leads a global team of Applied AI Architects partnering with nonprofits in education, health, and sciences to deploy Claude responsibly. Requires 10+ years in technical customer-facing roles, 7+ years leadership, and LLM expertise like prompt engineering and Python.
Builds an AI-native general counsel product for SMBs, focusing on contract ingestion, clause extraction, risk scoring, and review workflows using LLMs and NLP for high-precision legal operations.
Builds AI agent infrastructure for enterprise internal systems, including secure connectors to databases/APIs, natural language task orchestration, authentication layers, and monitoring behind firewalls. Requires strong backend skills, LLM agent experience, and enterprise security knowledge for a 12-week onsite residency.
Product Manager shapes platform evolution by understanding enterprise implementation workflows, prioritizing roadmaps with engineering, analyzing usage data, and partnering with GTM teams. Requires 2-8+ years PM experience in B2B software, technical comfort, and customer obsession.
Designs end-to-end product experiences integrating AI, collaborates with engineers and researchers, maintains design systems, conducts user research, and builds prototypes to solve complex problems intuitively.
Product Manager with 4+ years of experience to translate ML research into production AI tools. Owns end-to-end product decisions from research to GTM for world models and simulation products.
Product Manager defining strategy and scaling data processing, privacy, billing, and access controls for OpenAI's API infrastructure. Partners with engineering, security, legal, and finance to deliver enterprise-grade systems ensuring secure, reliable AI model usage.
Convert inbound leads into closed revenue by managing full sales cycles for smaller, high-velocity deals in a fast-paced AI startup. Requires 1-3+ years of full-cycle closing experience, extreme ownership, and tech sales track record.
Build and ship full-stack education products end-to-end, partnering with learning scientists, designers, and researchers. Requires 5+ years experience, proficiency in TypeScript/React and backend languages like Python/Go, plus focus on reliability and product sense.
Solutions Architect owns post-sales customer engagements, resolves complex technical issues, builds automation and self-service tools for support, and occasionally assists pre-sales. Requires 3+ years customer-facing technical experience and strong software engineering in modern languages.
Solutions Architect owns post-sales customer engagements, resolves complex technical support issues, builds automation and self-service tools for scalable support, and occasionally assists pre-sales. Requires 3+ years customer-facing technical experience and strong software engineering in modern languages.
Designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers using Kubernetes, cloud platforms, and LangChain/LangGraph. Requires 7+ years customer-facing technical experience, strong infra and agent engineering skills.
Solutions Consultant acts as Retail/CPG supply chain expert, building Dataiku demos, developing AI solutions, and supporting sales for enterprise clients. Requires 7-10 years in AI-driven supply chain transformations and strong project management.
Owns real-time product marketing for Cerebras AI inference, creating technical content like benchmarks and blogs to highlight speed advantages, building influencer programs, and driving organic growth in the AI community. Requires 5+ years in AI/ML marketing with hands-on AI tool experience.
Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Leads a team of Enterprise Account Managers, driving customer retention, expansion, and revenue goals in a SaaS AI company. Requires 8+ years in post-sales, 3+ years people leadership, deep AI fluency, and player-coach experience managing key accounts.
Leads thermal analysis, design, and integration of avionics thermal management systems for high-power unmanned aerial vehicles using CFD tools and first-principles problem-solving. Requires BS in Mechanical/Aerospace Engineering and familiarity with thermal tools.
Builds Luma's employer brand from scratch through social content, videos, events, employee advocacy, and AI-assisted campaigns targeting AI researchers and engineers. Requires 4-6 years hands-on content creation experience and portfolio.
Leads engineering for consumer subscriptions billing and monetization infrastructure at massive scale, building teams, systems for payments, promotions, and personalized experiences to drive revenue growth for X Premium and SuperGrok. Requires exceptional backend expertise and 5+ years in large-scale consumer apps.
Technical Program Manager owns and scales robotic data acquisition systems, driving cross-functional integration of hardware, software, and operations to deliver high-quality data for AI model training. Requires 5+ years in technical program management or systems engineering in robotics or hardware environments.
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.
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.
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 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.
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.
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 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 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 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.
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.
Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.
Forward Deployed Engineer owns technical workstreams for AI implementations in manufacturing, drives customer activation and value delivery, leads demos and user sessions across multiple accounts. Requires 2+ years in enterprise software implementation or consulting with strong technical and client-facing skills.
Sources and builds outbound candidate pipelines for technical roles (engineering, data, product) using AI tools, LinkedIn, and GitHub. Owns sourcing outcomes, experiments with workflows, tracks metrics, and partners with recruiters in a fast-paced startup.
Leads developer relations for generative AI video/image models, owning the full developer funnel, building creative tech communities, producing technical content, and advocating for developer needs to product/engineering teams. Requires 5+ years in DevRel or advocacy, strong coding skills, and deep AI expertise.
Early commercial hire owning top/middle funnel activities: account prioritization, multi-channel outbound prospecting, and partnering with AEs to progress opportunities. Requires 1-3 years customer-facing experience, top performance, and comfort with ambiguity.
Leads go-to-market strategy for enterprise AI platform and LLMs, targeting IT leaders in regulated industries. Develops positioning, sales enablement assets, and narratives around security/compliance features. Requires 6+ years product marketing experience in B2B SaaS platforms.
Builds and operates CI/CD systems, developer workflows, and internal platforms to accelerate engineering velocity for consumer device software across device and cloud. Requires 7+ years experience with deep CI/CD and platform expertise.
Develops kernel performance optimizations, AI-assisted tooling, and observability infrastructure for AI-native hardware. Requires strong low-level systems experience, kernel/accelerator expertise, and familiarity with AI workflows for engineering acceleration.
Senior Performance Engineer benchmarks Cerebras inference performance against competitors for real workloads, measuring metrics like tokens/second and TCO, while modeling competitor pricing to inform sales strategies. Requires 5+ years in ML systems and deep expertise in open-source inference stacks and transformer optimizations.
Leads a global team of Applied AI Architects partnering with nonprofits in education, health, and sciences to deploy Claude responsibly. Requires 10+ years in technical customer-facing roles, 7+ years leadership, and LLM expertise like prompt engineering and Python.
Builds an AI-native general counsel product for SMBs, focusing on contract ingestion, clause extraction, risk scoring, and review workflows using LLMs and NLP for high-precision legal operations.
Builds AI agent infrastructure for enterprise internal systems, including secure connectors to databases/APIs, natural language task orchestration, authentication layers, and monitoring behind firewalls. Requires strong backend skills, LLM agent experience, and enterprise security knowledge for a 12-week onsite residency.
Product Manager shapes platform evolution by understanding enterprise implementation workflows, prioritizing roadmaps with engineering, analyzing usage data, and partnering with GTM teams. Requires 2-8+ years PM experience in B2B software, technical comfort, and customer obsession.
Designs end-to-end product experiences integrating AI, collaborates with engineers and researchers, maintains design systems, conducts user research, and builds prototypes to solve complex problems intuitively.
Product Manager with 4+ years of experience to translate ML research into production AI tools. Owns end-to-end product decisions from research to GTM for world models and simulation products.
Product Manager defining strategy and scaling data processing, privacy, billing, and access controls for OpenAI's API infrastructure. Partners with engineering, security, legal, and finance to deliver enterprise-grade systems ensuring secure, reliable AI model usage.
Convert inbound leads into closed revenue by managing full sales cycles for smaller, high-velocity deals in a fast-paced AI startup. Requires 1-3+ years of full-cycle closing experience, extreme ownership, and tech sales track record.
Build and ship full-stack education products end-to-end, partnering with learning scientists, designers, and researchers. Requires 5+ years experience, proficiency in TypeScript/React and backend languages like Python/Go, plus focus on reliability and product sense.
Solutions Architect owns post-sales customer engagements, resolves complex technical issues, builds automation and self-service tools for support, and occasionally assists pre-sales. Requires 3+ years customer-facing technical experience and strong software engineering in modern languages.
Solutions Architect owns post-sales customer engagements, resolves complex technical support issues, builds automation and self-service tools for scalable support, and occasionally assists pre-sales. Requires 3+ years customer-facing technical experience and strong software engineering in modern languages.
Designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers using Kubernetes, cloud platforms, and LangChain/LangGraph. Requires 7+ years customer-facing technical experience, strong infra and agent engineering skills.
Solutions Consultant acts as Retail/CPG supply chain expert, building Dataiku demos, developing AI solutions, and supporting sales for enterprise clients. Requires 7-10 years in AI-driven supply chain transformations and strong project management.
Owns real-time product marketing for Cerebras AI inference, creating technical content like benchmarks and blogs to highlight speed advantages, building influencer programs, and driving organic growth in the AI community. Requires 5+ years in AI/ML marketing with hands-on AI tool experience.
Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Leads a team of Enterprise Account Managers, driving customer retention, expansion, and revenue goals in a SaaS AI company. Requires 8+ years in post-sales, 3+ years people leadership, deep AI fluency, and player-coach experience managing key accounts.
Leads thermal analysis, design, and integration of avionics thermal management systems for high-power unmanned aerial vehicles using CFD tools and first-principles problem-solving. Requires BS in Mechanical/Aerospace Engineering and familiarity with thermal tools.
Builds Luma's employer brand from scratch through social content, videos, events, employee advocacy, and AI-assisted campaigns targeting AI researchers and engineers. Requires 4-6 years hands-on content creation experience and portfolio.
Leads engineering for consumer subscriptions billing and monetization infrastructure at massive scale, building teams, systems for payments, promotions, and personalized experiences to drive revenue growth for X Premium and SuperGrok. Requires exceptional backend expertise and 5+ years in large-scale consumer apps.
Technical Program Manager owns and scales robotic data acquisition systems, driving cross-functional integration of hardware, software, and operations to deliver high-quality data for AI model training. Requires 5+ years in technical program management or systems engineering in robotics or hardware environments.
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.
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.
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 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.
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.
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 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 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 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.
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.