C# Jobs

World Labs is a frontier AI research and product company focused on spatial intelligence, co-founded by Dr. Fei-Fei Li, Justin Johnson, and Ben Mildenhall. The company is developing world models that can perceive, generate, reason, and interact with virtual and physical worlds, with its flagship product Marble transforming text, images, and video into navigable 3D worlds. Backed by leading investors, World Labs is building a world-class team at the intersection of AI research and real-world deployment.

$250k - $350k

World Labs is a frontier AI research and product company focused on spatial intelligence, co-founded by Dr. Fei-Fei Li, Justin Johnson, and Ben Mildenhall. The company is developing world models that can perceive, generate, reason, and interact with virtual and physical worlds, with its flagship product Marble transforming text, images, and video into navigable 3D worlds. Backed by leading investors, World Labs is building a world-class team at the intersection of AI research and real-world deployment. We are seeking a Tech Lead for 3D Modeling & Reconstruction to define technical direction and drive execution for our core 3D modeling efforts. This hands-on leadership role requires a strong research science or engineering background with significant contributions to 3D reconstruction and/or modeling. You will combine deep technical expertise with the ability to guide a high-impact team, shaping both the research roadmap and production systems.

$250k - $350k

World Labs is a frontier AI research and product company advancing spatial intelligence. We are seeking a Performance Engineer to optimize our large generative world models for both training and serving, ensuring they run as fast as the hardware allows. This hands-on, individual-contributor role involves identifying and eliminating performance bottlenecks across the entire stack, from low-level kernel optimization to fleet-wide serving efficiency. You will work closely with researchers to accelerate their models and productionize them for efficient deployment.

$200k - $300k

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, from profiling costs and implementing modern optimization techniques to deep dives into serving code when defaults are insufficient. The work is applied, focusing on real customer deployments with varying models, traffic, latency targets, and cost constraints. You will collaborate with customer engineering teams to tailor deployments, transition workloads from proof-of-concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering position requiring coding, profiling, and low-level optimization, with a customer-facing component involving product and technical solutions work.

$185k - $225k

Anthropic

Anthropic's Security Governance, Risk, and Compliance (GRC) team is seeking a Security Controls Assurance Lead to translate regulatory, customer, and voluntary obligations into actionable controls. This role will define control requirements and acceptance criteria for global compliance obligations across the software development lifecycle, partnering with engineering teams to ensure implemented controls meet defined standards. The goal is to build an integrated compliance and risk ecosystem that serves as a trust engine and an independent risk advisor for Anthropic.

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads. As a Software Engineer on this team, you will build the low-level device runtime that executes compiled programs efficiently on OpenAI's custom AI accelerators. This software is crucial for scheduling kernel launches, managing device memory, coordinating synchronization, and providing reliable abstractions to higher-level frameworks. You will collaborate closely with compiler, kernel, architecture, verification, and silicon teams, working at the intersection of software and hardware. Utilizing event-based, cycle-accurate simulation, you will develop runtime capabilities, diagnose performance and correctness issues, and contribute to hardware-software co-design before and after silicon is available.

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads, aiming to power the next generation of frontier models. As a Software Engineer on this team, you will build the model runtime within the inference engine that executes complex models at scale on OpenAI's custom silicon. This runtime will bridge the gap between models and the serving software stack, translating inference workloads into efficient execution while optimizing for throughput, latency, utilization, and reliability. Your work will involve designing a production-grade runtime comparable to systems like vLLM and SGLang, customized for OpenAI's AI accelerators, and will directly influence how new model capabilities map onto the platform and how quickly custom silicon delivers performance.

Anthropic

Anthropic is seeking desktop app engineers to join their Claude product team. The mission is to build native applications that leverage advanced language models, packaging AI capabilities into elegant desktop experiences. This role involves working with a team of engineers, researchers, and product specialists to design and implement components that connect AI technology with user interfaces. The team is looking to build the best possible version of Claude for macOS and Windows using a mix of native and web technologies, and is interested in strong engineers eager to learn new languages and technologies to create optimal user experiences.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Security Risk team is rebuilding risk management as an engineering function, leveraging automation and AI-native platforms. This role involves identifying, prioritizing, and treating the company's most critical security risks across a broad spectrum of systems, from authorization to cryptography. You will help define the future of risk management for frontier AI companies, with a direct impact on CISO-level decisions and the opportunity to build the underlying AI-native platform. The work is largely greenfield, allowing you to shape the architecture and discipline.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves owning and contributing to key areas such as identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will have the opportunity to define architecture in largely greenfield work, collaborating closely with various teams to ensure the security and integrity of Anthropic's AI development and deployment processes.

Anthropic

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Glean is seeking Backend/Infrastructure engineers to develop a platform that ensures enterprise agents are safe, discoverable, reliable, and governable at scale. This role involves working on agent publishing, sharing, moderation, policy enforcement, permissions, versioning, observability, and spend management. It's a distributed-systems and security-sensitive challenge that spans platform infrastructure, product systems, and enterprise administration. You will be responsible for taking ownership of problems from their initial definition and architecture through to production launch and ongoing operation, transforming ambiguous requirements into robust platform primitives.

Fireworks AI is seeking a Member of Technical Staff focused on Reliability Engineering to ensure the dependable operation of their AI platform. This role involves working across cloud infrastructure, AI systems, and product teams to guarantee seamless integration, graceful failure handling, and robust performance under load. You will be instrumental in defining reliability standards, owning the reliability toolchain, and ensuring a positive customer experience by addressing failures that span across systems. The position requires a proactive approach to incident management, a commitment to reducing operational toil through automation, and strong collaboration with various engineering teams.

Applied Intuition is seeking a Software Engineer to join the Stack Tooling team, which builds essential software infrastructure for autonomy verticals. This role focuses on developing systems that help engineering teams test, analyze failures, and deploy autonomous systems faster. You will work on critical aspects of production autonomy rollout, including simulation realism, performance, scale-up, CI/CD pipelines, and data pipelines for rapid decision-making. The position involves executing cross-functional projects that support autonomy developers, systems engineers, and triage teams, with a focus on creating solutions that can scale across multiple autonomy domains like trucking, cars, and offroad vehicles.

$60k - $300k

Applied Intuition is a rapidly growing company focused on powering the future of physical AI. We are building the digital infrastructure necessary to bring intelligence to every moving machine across various industries like automotive, defense, and construction. Our solutions are trusted by leading global automakers and military organizations. We are seeking a Software Engineer to join our team and contribute to the design, implementation, and deployment of software and machine learning components, with a particular focus on behavior prediction and environmental interactions. This role involves building scalable software for inference and decision-making in dynamic environments, optimizing data pipelines, and developing robust testing frameworks to ensure system performance and model accuracy.

$60k - $300k

Applied Intuition is seeking a performance engineer to specialize in making large-scale machine learning workloads fast and cost-efficient within the datacenter. This role focuses on optimizing distributed training runs across multiple nodes and high-throughput batch inference for processing vast amounts of real-world autonomy logs. The primary goal is to improve throughput, cluster efficiency, and reduce cost per unit of data processed, directly impacting the company's iteration speed. You will be responsible for identifying and resolving performance bottlenecks across the entire stack, from accelerators to ML frameworks and data infrastructure, working collaboratively with various engineering teams to achieve significant improvements in training time and processing costs.

$60k - $300k

Applied Intuition is seeking a Technical Team Lead with strong foundations in algorithmic optimization, multi-agent systems, and leadership skills. This role will lead a team tackling complex computational challenges in a real-time decision-making platform, setting the technical direction for advanced algorithms in autonomous coordination and planning. The focus is on next-generation human-machine teaming and real-time decision-making systems, guiding engineers in building intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms. The work spans real-time scenarios, heterogeneous platforms, and software integrating with human operators, offering an opportunity to own outcomes in fast-moving, mission-oriented environments and build autonomy for warfighters.

$10k - $20k

Sarvam is seeking a Performance Engineer specializing in Inference to join their Performance Engineering team. This role focuses on integrating and optimizing model serving stacks for large, distributed models across a fleet of GPUs. You will be responsible for the end-to-end production serving path, modifying and extending existing serving runtimes like SGLang, vLLM, NVIDIA Dynamo, or TensorRT-LLM. The position involves building and training custom speculative decoding models and ensuring the performance and cost-efficiency of the serving infrastructure. You will collaborate closely with model, kernel, and SRE teams to achieve critical performance metrics such as latency, throughput, and GPU utilization.

Enterprise Foundations is responsible for building the core capabilities that large enterprises require to operate their business on the Fireworks platform. This involves addressing complex needs related to organizational structure, user access control, usage metering, billing, data security, and deployment within customer-owned cloud environments. The role offers end-to-end ownership of features, starting from customer conversations, evolving into changes in core data models and APIs, and extending through the control plane, training and inference stacks, SDK, CLI, and console. The work is foundational, often involving new primitives that impact other teams' code and must be rolled out to production without disruption. This position is closely tied to revenue, with requirements stemming directly from enterprise deals and customer interactions, offering a unique opportunity to influence product direction and build solutions for scaled companies.

Applied Intuition is seeking a Senior Software Engineer to join their Air Combat Autonomy team. This role will focus on designing, developing, and enhancing simulation solutions for testing and training multi-agent autonomy software. You will be responsible for architecting LVC (Live, Virtual, Constructive) systems, creating simulation scenarios, writing interface code, conducting code reviews, and resolving integration issues. The position involves collaboration with cross-functional teams to translate requirements into technical solutions, mentoring junior engineers, and driving continuous innovation through testing, debugging, documentation, and CI/CD pipeline contributions.

$60k - $300k