Develops core middleware components and services for software-defined vehicle platform using C++, focusing on communication protocols, AUTOSAR Adaptive clusters, networking, and system management. Requires 5+ years experience, strong C++ skills, and BS in CS or related field.

Leads development of motion planning algorithms for autonomous vehicles, mentors engineers, architects planning modules integrating perception and maps, ensures deployment readiness, and collaborates with customers. Requires 5+ years in AV planning, C++ fluency, and BS in CS/Robotics.

Conducts cutting-edge research in reinforcement learning, self-play RL, VLA post-training, and closed-loop RL for autonomous driving and robotics. Requires strong research record with publications, MSc/PhD in ML/CV, and expertise in Python, PyTorch, computer vision, and robotics.

Builds and improves core libraries, frameworks, and developer tools like Bazel and Buildkite CI/CD to boost engineering productivity. Requires 2+ years experience, Bachelor's in CS, and expertise in Go/C++/Python/TypeScript.

Provides first-line technical support, handles user onboarding/offboarding, and designs scalable IT infrastructure. Requires 3+ years in IT operations, multi-OS support, networking knowledge, and CompTIA Security+.

Develops robotic hardware, large-scale simulations for RL training, and processes human data for autonomy and robotics applications. Collaborates on research publications and deploys algorithms to production systems. Requires hands-on robotics experience and expertise in Python, PyTorch, computer vision.

Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.

Senior engineer owning and maintaining HD maps infrastructure for products in autonomous vehicles and simulation, including storage formats, data pipelines, UIs, and SDKs. Requires 2+ years experience with C++/Python and mapping/localization challenges.

Leads financial planning, forecasting, and analysis for Compute & Infrastructure, managing the company's largest cost center. Partners with Engineering and Finance on investment decisions, scenario modeling, and efficiency tracking; requires 10+ years in strategic finance and team leadership experience.

Manages and optimizes client data annotation workflows for AI models, ensuring high-quality data through process design, auditing, and cross-functional collaboration. Requires 3-7 years experience, Python/SQL proficiency, and strong project management in AI operations.

Leads product development for AI-driven tools like Computer, envisioning innovative experiences in enterprise industries. Collaborates with engineering, design, and research; requires 4+ years PM experience, data skills, and domain passion.

Senior full-stack engineer builds RAG/LLM systems, data pipelines, and optimization tools for AI-driven asset management in energy. Requires 5+ years experience with Python/Django/FastAPI, React/TypeScript, and production AI systems.

Prospects and closes enterprise deals for AI observability platform in West US region, targeting technical audiences like software engineers. Requires 5+ years full-cycle sales experience selling to technical buyers.

Prospects and closes enterprise deals for AI observability platform in Central US region (Denver, Austin, Chicago). Requires 5+ years full-cycle sales experience selling to technical audiences like software engineers, with consultative approach.

Builds and maintains billing pipelines for usage metering, aggregation, invoicing, and integrations with platforms like M3ter and Salesforce. Delivers customer-facing dashboards and internal analytics, requiring 5+ years in SaaS billing systems and backend expertise in Python, TypeScript, or Go.

Leads a team of Forward Deployed Engineers delivering North across private-cloud and on-premises customer environments in EMEA. The role combines people management with hands-on enterprise deployment, cloud infrastructure, Kubernetes, scaling, and customer success responsibilities.

Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.

Designs and secures core infrastructure for multi-tenant AI platform, focusing on container isolation, orchestration (Kubernetes), identity management, secrets handling, and cloud security across AWS/GCP. Requires production experience in cloud-native systems and builder mindset for hands-on implementation.

Leads Product Design, Design Engineering, and UX Research teams to define vision, partner with Product/Engineering, build high-performing teams, and deliver intuitive user experiences for a consumer AI music platform. Requires 10+ years design experience with leadership in scaling teams and shipping products at scale.

Leads engagement for strategic Generative AI customers, owning project delivery, building deep relationships with researchers, navigating complex discussions, and driving expansion. Requires 5+ years in consulting, technical PM, or program management with ML understanding and STEM background.

Own end-to-end customer engagements for Generative AI projects, managing execution, communication, and cross-functional delivery while monitoring SLAs and driving improvements. Requires 3-5 years in consulting or technical program management with a technical STEM background.

Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.

Former founder to own building voice assistant features/product lines or scaling dictation product to a billion users. Requires engineering expertise in TypeScript/React/Python with design intuition, or growth experience scaling userbases creatively.

Designs, validates, and scales secure OT network architectures for high-density AI data centers, including controls systems, telemetry, and integration with IT infrastructure. Requires 8+ years in OT networking, industrial protocols, and resilient topologies in mission-critical environments.

Drives revenue growth by selling safe AI solutions to federal civilian agencies, owning full sales cycles, navigating procurement compliance, and building key relationships. Requires 7+ years federal sales experience and deep agency knowledge.

Builds and refines AI agents using prompt engineering, conversational flows, and custom functions on the Regal platform. Tunes STT/LLM/TTS settings, conducts QA testing, delivers product feedback, and supports sales demos. Requires technical degree and 1-2 years experience.

Leads end-to-end deployment of Voice AI Agents for customers, owning product vision, technical integrations with APIs/webhooks/databases, and performance iteration. Requires 3+ years in technical customer-facing roles and AI curiosity.

Evaluates new hardware platforms by porting benchmarks and workloads, analyzes performance across compute/memory/networking, identifies bottlenecks, and optimizes for AI systems. Requires expertise in performance analysis, system architecture, and debugging across hardware/software boundaries.

Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.

Defines rack- and cluster-level reference architectures for AI infrastructure, translates workload requirements into designs, collaborates with partners and modeling teams to evaluate tradeoffs, and drives vendor roadmaps to address technology gaps.

Leads high-impact AI infrastructure programs for model training, evaluation, and serving at scale. Partners with engineering, research, and product teams to align roadmaps, drive execution, track metrics, and optimize workflows in technically complex environments. Requires 5-8 years experience in technical program management.

Leads engineering programs for data center network integration, controls coordination, and whitespace facility deployment. Coordinates cross-functional teams, manages risks/dependencies, and drives execution from design through operations in high-stakes AI infrastructure environments. Requires 10+ years experience and strong technical fluency.

Senior Software Engineer owns end-to-end product features across full stack, from scoping and building to deployment and iteration based on user feedback. Collaborates with ML researchers and requires 4+ years experience in product development with web apps.

Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.

Develop and maintain performance modeling tools to analyze AI system behavior, evaluate tradeoffs in compute, memory, networking, and storage. Requires 1-2 years experience in software engineering or systems analysis, strong programming, and analytical skills.

Develops and maintains performance modeling tools and frameworks to evaluate AI system behavior, analyze tradeoffs in compute, memory, networking, and storage. Collaborates with architects on simulations and insights for infrastructure design; requires strong software/modeling background and system architecture knowledge.

Leads a team building performance modeling frameworks to evaluate AI infrastructure tradeoffs in compute, memory, networking, and topology. Guides architectural decisions, influences vendor designs, and partners with ML/systems teams; requires deep AI workload and systems expertise.

Leads engineering team building Admin Console for enterprise AI platform, owning full-stack architecture for admin workflows like data setup, security, and governance. Requires 8+ years software engineering, 1+ years management, and strong coding skills in Python/Go/Java/etc.

Leads engineering team building multimodal APIs for real-time processing, speech (Whisper/TTS), and image generation (DALL-E/4o). Owns product roadmap, collaborates with research/product teams, and drives scalable architecture in fast-paced environment. Requires strong management experience and multimodal AI familiarity.

Senior infrastructure engineer owning GPU and AWS cloud infrastructure, partnering with teams to ensure reliability and build developer tools in a fast-paced AI environment. Requires deep AWS/GPU expertise and senior-level ownership.

Leads and scales a global talent acquisition team for rapid company growth from 150 to 600+ employees, building recruiting systems, employer brand, and AI-powered operations. Requires 10+ years experience leading TA at high-growth AI/SaaS firms, with executive influence and hands-on AI tooling expertise.

Senior electrical engineer designs and optimizes power systems for high-density AI data centers, evaluates vendors and technologies, leads testing and commissioning, and ensures reliability for liquid-cooled GPU deployments. Requires 10+ years experience in mission-critical facilities and bachelor's in electrical engineering.

Partner Success Manager acts as trusted advisor to retail clients, driving AI platform adoption, monitoring performance, and translating tech into business ROI. Requires 7+ years in client/account management in SaaS/Retail Tech, AI literacy, and MBA.

Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.

Create customer stories, sales collateral, landing pages, and messaging for AI software products. Collaborate with sales, customers, and stakeholders to drive enterprise deals, requiring strong storytelling and rapid iteration skills.

Deploys and integrates Shield AI’s Hivemind autonomy software with customers, develops C++ AI and autonomy applications, and provides technical support and training. The role requires a bachelor’s degree with 7+ years or a master’s degree with 5+ years of industry experience, plus substantial customer-facing travel.

Deploys and integrates Shield AI’s Hivemind autonomy software with customers globally, providing technical support, training, debugging, and application development. The role requires strong modern C++ skills, customer-facing communication, and 3–5+ years of industry experience depending on degree.

Acts as pre-sales technical advisor architecting LLM solutions with Claude for commercial customers, building prototypes, demos, and evals while guiding integrations. Requires 3+ years technical experience, strong Python coding, and customer-facing skills.

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.

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.