C# Jobs

Together AI

Together AI is seeking an ML Engineer to develop systems and APIs for customer inference and fine-tuning of LLMs. The ideal candidate will have experience implementing runtime systems for large-scale AI/ML model inference, including the largest LLMs. This role involves designing and building production systems for reliability and performance at scale, partnering with cross-functional teams, and improving system efficiency and stability.

$160k - $220k

Together AI

Together AI is a research-driven artificial intelligence company focused on lowering the cost of modern AI systems. This role is part of a team dedicated to enabling custom models and dedicated inference on Together's platform. The team is responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. The work often involves video or audio generation across the stack, including CUDA kernels, PyTorch optimization, inference engines, container orchestration, and queueing theory.

$160k - $250k

OpenAI

The Codex Web Layer team is responsible for the web-based systems and user experiences for Codex, spanning the entire stack from the application framework to the in-app browser. In this role, you will design and implement infrastructure and features end-to-end for the Codex desktop client application, helping to define the future of hybrid agentic/interactive web browsing. This position offers a unique opportunity to work on a critical and rapidly growing product within a small, experienced team, contributing to a platform that integrates from the OS level to user interaction design.

Scale AI

Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector worldwide. We create custom AI applications impacting millions of citizens, generate high-quality training data for national LLMs, and provide upskilling and advisory services to spread AI's impact. As a DevOps Engineer, you will design and develop core platforms and software systems, supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure. We are enabling the public sector to transform operations and better serve citizens through cutting-edge technology.

Applied Intuition is seeking a Systems Engineer to join their UK Engineering team. This role is crucial for defining system requirements, designing architectures, and integrating the company's advanced technology onto autonomous vehicles and defense systems. The position involves a blend of systems engineering, robotics, software deployment, architecture, integration, and hands-on real-world testing. You will work in both office and field environments, spending significant time deploying and validating software on autonomous systems in dynamic settings. Collaboration with software engineers, autonomy experts, perception teams, data scientists, and field operators will be key to ensuring robust and reliable system deployments.

$60k - $300k

Applied Intuition is seeking a Sensor Fusion Engineer to join their UK Engineering team. This role is crucial for developing tracking, fusion, and state estimation capabilities for unmanned autonomous systems. You will be responsible for designing and building algorithms for single-agent and multi-target detection and tracking, as well as decentralized multi-agent, multi-target tracking for swarms. This position operates at the intersection of autonomy, robotics, perception, state estimation, and production software engineering, requiring close collaboration with various engineering teams to bring algorithms from concept to deployable software for real-world applications.

$60k - $300k

Skild AI is seeking a Software Engineer to develop and optimize the software infrastructure and tools for training cutting-edge AI models. This role involves building scalable and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to integrate new algorithms and techniques, pushing the boundaries of AI in real-world robotics. The position also focuses on exploring efficient data utilization within training pipelines.

Skild AI is seeking a Software Engineer to join their team and work on deploying cutting-edge AI models for embodied systems. This role focuses on optimizing AI inference processes for models ranging from lightweight to billion-parameter scale, ensuring robots operate efficiently and intelligently in real-world scenarios. You will bridge the gap between systems and machine learning, directly enhancing AI model power and adaptability by maintaining consistent performance under varying compute and hardware constraints.

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads. We are seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, encompassing hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with various teams to define and deliver system-level device trust, including aspects like boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware updates, and decommissioning. Your accountability will extend from translating threat models into requirements, to implementation, and finally to validation evidence supporting launch decisions.

Physical Intelligence is developing foundation models and learning algorithms to power robots and future physically-actuated devices. This role focuses on building the systems that enable robots to operate reliably and safely in real-world customer environments. You will integrate state-of-the-art models with robots, design system safeguards, develop teleoperation interfaces, and implement latency optimizations for remote control. You will collaborate with researchers, platform engineers, and robot operators to ensure the entire stack is dependable enough for customers to rely on for their operations.

Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Crusoe is seeking a Senior Production Engineer to join their team and ensure the reliability and scalability of their AI-optimized cloud platform. This role is crucial for building and operating managed AI services at scale, focusing on delivering highly available, performant, and cost-efficient AI infrastructure for compute-intensive, latency-sensitive workloads. The ideal candidate will have a strong background in distributed systems and hands-on experience with large language models.

$170k - $205k

Glean is seeking Backend/Infrastructure engineers to construct a high-performance, scalable, and secure system that ensures enterprise knowledge is readily accessible to employees in all work contexts. This role offers significant opportunities to contribute to building a modern cloud-native application stack, addressing challenges such as developing scalable distributed systems and storage, creating a unified framework for indexing diverse information sources, implementing end-to-end security measures, optimizing for instant user experience while managing system costs, and developing tooling for comprehensive monitoring and deployment across multiple cloud environments.

Scale AI

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

$216k - $270k

Scale AI

Scale's Robotics business unit is focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

Scale AI

Scale's Physical AI business unit is focused on solving data bottlenecks in Robotics, Autonomous Vehicles, and Computer Vision. This role involves applied research and developing ML pipelines for processing, training, and fine-tuning data collected by Scale, with an emphasis on optimizing algorithms and pipelines for efficient GPU execution in the cloud. You will advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models tailored for physical agents, powering both internal research and external customer use cases.

$249k - $311k

Scale AI

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

$180k - $225k

Scale AI

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.

$216k - $270k

Scale AI

Scale's Global Public Sector team is seeking Applied AI Engineers to build custom, end-to-end AI applications for public sector clients worldwide. This role involves leveraging the latest AI advancements to create impactful solutions, generate high-quality training data for national LLMs, and contribute to upskilling initiatives. You will work on developing and fine-tuning sophisticated models for real-world use cases, aiming to transform public sector operations and enhance citizen services through cutting-edge technology. Join a rapidly expanding team dedicated to shaping the future of AI in the public sector.

OpenAI

As a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software. This includes designing and implementing test frameworks, regression infrastructure, hardware-in-the-loop labs, and release gates. You'll develop tooling and automation to ensure quality signals are trustworthy, integrate them into CI/CD pipelines, and create efficient workflows for engineers and QA technicians. The ideal candidate has deep experience in software quality, automation, developer tooling, and hardware-software integration, with a passion for building scalable and reliable systems for validation and release readiness.