C# Jobs

AI needs a new infrastructure layer, and Modal is building it. We are seeking an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you will spend roughly half your time on technical contribution and half on people management. You will work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. We are looking for an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed, earning trust through technical depth, communicating with clarity, and helping great engineers move fast and make sound decisions.

Glean is seeking engineers to contribute to building the world's premier search and assistant product for the workplace. Our engineers tackle a variety of systems, focusing on areas like query understanding, document comprehension, domain-adapted language models, natural language question-answering, and evaluation. You will collaborate closely with customers to understand their challenges and apply the most effective tools, whether simple or complex, to deliver solutions. This role involves inventing new signals to enhance search personalization, training models for ranking systems, designing methods to adapt language models to customer data, and exploring novel ways to integrate LLMs with search for complex question answering. You will also be responsible for writing high-quality, maintainable code and may mentor junior engineers or learn from experienced ones.

Glean is seeking a Tech Lead Manager for the Admin Console team to oversee a critical product area responsible for customer deployment, governance, and scaling of the Glean platform. This full-stack leadership role involves guiding architecture, collaborating with product and design teams, and developing a strategically important engineering team. The Admin Console serves as the central hub for enterprise activation, enabling administrators to configure authentication, data sources, permissions, governance, search settings, AI features, and monitor deployment health. As Glean transitions into an AI platform, this team's focus will expand from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$250k - $300k

Glean is seeking a Tech Lead Manager for the Admin Console team to oversee a critical product area responsible for customer deployment, governance, and scaling of the Glean platform. This full-stack leadership role involves guiding architecture, collaborating with product and design teams, and developing a strategically important engineering team. The Admin Console serves as the central hub for enterprise activation, enabling administrators to configure authentication, data sources, permissions, governance, search settings, AI features, and monitor deployment health. As Glean transitions into an AI platform, this team's focus will expand from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$250k - $300k

Mistral AI

Mistral AI is seeking passionate and skilled software engineers to join our Warsaw-based Context Engine team. You will be instrumental in building and enhancing Mistral's agent harness, which is crucial for delivering production-grade knowledge processing and directly influences how users interact with our AI platform. The role involves developing reliable, high-performance backend systems and APIs that serve millions of users and developers, ultimately making the user and developer experience more engaging, efficient, and intuitive. We are looking for engineers at mid to senior staff levels who are eager to learn, collaborate, and ship impactful products.

Nabla is seeking a Back-End Engineer to play a critical role in scaling its AI-driven healthcare platform. You will take ownership of key components of our back-end systems, collaborate closely with product and machine learning teams, and help shape the technical direction of our infrastructure. This is an opportunity to contribute end-to-end to a specific part of the product within a lean, fast-moving, and deeply technical engineering environment. Nabla is at the forefront of AI in healthcare, developing solutions that streamline clinical documentation and restore the human connection in patient care, backed by significant recent funding.

LangChain is seeking a systems/database engineer to join its internal database team, SmithDB. This team is responsible for building a storage and query layer purpose-built for AI observability and evaluation. The role involves designing, optimizing, and hardening the system, which has rapidly evolved from an idea to a production system. You will work on critical aspects like execution, storage layout, performance profiling, and scaling to handle trillions of agent traces, contributing to a greenfield system with ambitious engineering goals.

$175k - $240k

OpenAI

We are seeking a highly autonomous and ownership-driven engineer to join our Developer Productivity team, focusing on OpenAI's Inference Runtime. This role is crucial for scaling the engineering systems, safeguards, and developer workflows that enable our teams to innovate rapidly without compromising reliability or performance. You will operate at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. Your work will involve developing tooling and operational foundations for model launches, inference optimizations, cloud integrations, and large-scale deployments within our rapidly evolving inference stack. A primary focus will be enhancing the tooling and infrastructure for deploy gates of inference engine images, ensuring correctness, numerical soundness, regression-free performance, and optimized metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You will also contribute to hardening pre-production issue detection systems, reducing noise from flaky tests, and improving automation for triage, debugging, and escalation, alongside enhancing observability, rollout safety, release automation, and developer self-service tooling.

Scale AI

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

Applied Intuition is seeking a Software Engineer to join their Autonomy Framework team. This role involves developing core software systems for a cutting-edge framework that enables collaborative autonomy behaviors in multi-domain environments. You will integrate with domain-specific platforms and support multidisciplinary engineering efforts, working on foundational software for autonomous systems operating in complex, real-world scenarios. The position offers the opportunity to collaborate with autonomy engineers, domain experts, and product teams to build robust, scalable frameworks for air, ground, and maritime domains.

$10k - $20k

Cohere

Cohere is seeking a Research Intern to collaborate with researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will have the opportunity to work on various teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, or any research area relating to LLMs. This role offers a chance to broaden research connections while gaining deep experience in a growing AI startup.

Cohere

Cohere is seeking a Lead Member of Technical Staff to join the Model Serving team. This role will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will be responsible for developing, deploying, and operating the AI platform that delivers Cohere's large language models through easy-to-use API endpoints. The ideal candidate will have a strong background in leading the design of high-performance, scalable, and reliable machine learning systems and will serve as a key point of contact for customers, leading the design of customized deployments and mentoring engineers.

OpenAI

We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries.

Perplexity is seeking builders to join its highly leveraged engineering team to create innovative products that accelerate human productivity. As an engineer, you will build products and systems that define how AI empowers humans to think, decide, and act. You will ship fast and work across product, infrastructure, and frontier-level advancements in technology, focusing on craftsmanship, ownership, entrepreneurship, scholarship, and partnership. This role is for individuals who identify problems, design solutions, and ship them, acting with urgency and a founder's mindset to deliver for users.

Nabla is seeking a Senior Full-Stack Engineer to join a cross-functional squad and contribute end-to-end to a specific part of the product. This role involves taking a leading role in building and scaling Nabla’s AI-powered healthcare platform, working across the stack from back-end services to web, desktop, and mobile applications. You will collaborate closely with Product, Design, and Machine Learning teams to deliver high-impact features that directly serve healthcare professionals, with the goal of restoring the human connection at the heart of healthcare by streamlining clinical documentation.

Skild AI is seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms for robotic applications. This role involves conducting experiments, optimizing models for real-world robotic environments, and collaborating with robotics, research, and engineering teams. The work will directly contribute to the development of intelligent, adaptable robots capable of autonomous learning and complex task performance.

Skild AI is building the world's first general-purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We are seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms for robotic applications. This role involves conducting experiments, optimizing models for real-world robotic environments, and collaborating closely with our robotics, research, and engineering teams. Your work will directly contribute to the development of intelligent, adaptable robots capable of autonomous learning and complex task performance.

We are seeking an AI Infrastructure Engineer to join our expanding team. In this role, you will collaborate closely with our Inference and Research teams to construct, deploy, and enhance our extensive AI training and inference clusters. Your work will involve managing Kubernetes and Slurm environments, optimizing distributed training for large language models, and developing robust orchestration systems. This position offers the opportunity to significantly impact the performance and scalability of our AI infrastructure.

We are seeking an AI Infrastructure Engineer to join our expanding team. In this role, you will collaborate closely with our Inference and Research teams to construct, deploy, and enhance our large-scale AI training and inference clusters. Our work involves Kubernetes, Slurm, Python, C++, PyTorch, and primarily operates on AWS.

Applied Intuition is seeking an Embedded AI Engineer to build on-device intelligence for a next-generation Android Automotive platform. This role is responsible for the entire lifecycle of embedded ML systems, ensuring models perform predictably and safely within production environments, adhering to real-world constraints like latency, thermal limits, and functional safety. The company is a leader in powering the future of physical AI, serving industries such as automotive, defense, and construction with solutions for tools, infrastructure, operating systems, and autonomy.

$60k - $300k