Docker Jobs

The AI Platform team is building the shared runtime for all AI agents at MeridianLink, encompassing model gateway, orchestration, memory, and observability. This role focuses on the trust and explainability layer of this runtime, developing tracing, evaluation, and explanation capabilities. These features will enable engineers to understand multi-agent workflows and allow product teams to provide customers with appropriate explanations to build trust in agent outputs. This is a hands-on engineering role where you will write code for tracing agent actions, adopt and extend open-source frameworks for explainability and observability, and build primitives for surfacing explanations to end-users. You will work closely with a Staff engineer team lead and architects who will support your growth in this area.

$104k - $178k

NVIDIA is seeking an outstanding individual to join our platform SWQA team as a Platform Software Validation Engineer (SDET). This role involves developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, covering servers, OS, firmware, and CUDA software stacks. You will be responsible for installing and testing various systems, OS, server firmware, and software stacks, and driving root cause analysis for reliability and validation test failures. The position requires building and developing server and OS level automation frameworks and tests, reviewing partner and supplier test results, and managing the bug lifecycle within an agile development team.

$140k - $270k

This role is for experienced software engineers looking to build AI-powered products. You will own user-facing surfaces end-to-end, from interaction design and frontend development to application logic, APIs, data models, and the underlying search or model calls. The team continuously ships to production, with new engineers often having code in front of users within their first week. You will leverage AI, including agents and coding models, as primary tools to accelerate development and improve product quality, focusing on reliability, latency, and craft. This is a full-stack position that suits individuals who enjoy building and have the autonomy to do so, with a focus on turning ambiguous product ideas into working prototypes and iterating based on usage data and evaluations.

$180k - $270k

As a Senior Engineering Manager, you will lead an engineering team focused on making large language models run faster, cheaper, and more reliably in production. This role balances team leadership with core systems and performance engineering on demanding models in production, requiring you to stay deeply technical and hands-on with the inference stack end to end. The work is applied, not academic, with optimizations landing in real customer deployments. You will tailor deployments to customer needs, take workloads from proof of concept to production, and ensure performance gains deliver clear business and customer value. This leadership role combines people management, technical direction, and hands-on coding and profiling, with a customer-facing component and elements of product and technical solutions leadership.

$250k - $300k

Arize AI is seeking an experienced Forward Deployed AI Engineer to join their client-facing team. This role involves working directly with client engineering teams to manage projects and drive technical solutions that extend beyond Arize's core platform. The position requires a blend of deep AI expertise and business acumen to deliver results under tight deadlines while fostering strong client relationships. While the company operates as remote-first, candidates must be based in the San Francisco Bay area/PST time zone for this specific role.

$155k - $190k

As a new-grad Forward Deployed Engineer at Domino, you will work directly with customers to identify significant challenges in AI adoption within highly regulated industries. You will learn to utilize the Domino platform to develop solutions for mission-critical business operations. This role combines applied AI engineering and software engineering skills with customer empathy and domain knowledge. You will collaborate with experienced engineers to rapidly transform ambiguous customer problems into tangible solutions, which may include RAG pipelines, agentic workflows with automated evaluation, or software solutions for process automation. You will be responsible for writing code, designing end-to-end systems, and delivering impact in high-stakes environments across healthcare, life sciences, finance, and government sectors. Domino trusts new-grad engineers to contribute to critical, high-visibility projects from the outset, offering the chance to make a meaningful impact from day one.

$150k - $165k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. The AI Infrastructure team is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

$200k - $280k

Together AI

At Together AI, you will be responsible for the systems and tooling that enable engineers to ship code quickly and reliably. This includes CI/CD pipelines, release infrastructure, local development environments, and testing systems. This is a build-heavy, high-leverage role where you will drive large projects end-to-end, focusing on building the infrastructure that makes manual effort unnecessary and allows engineers to concentrate on product development.

$180k - $250k

We are seeking a highly technical and strategic Senior Technical Lead to join our team, focusing on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous Vehicles, and Simulation Platforms. You will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.

$224k - $357k

WRITER is seeking a Software Engineer, Generative AI to build the secure, scalable foundation for enterprise-grade generative AI solutions. This role is for an engineering generalist with a strong focus on generative AI and a systems-level approach to architecture. You will be responsible for designing and developing services, integrating AI models and agentic workflows, and owning platform component architecture from proposal to deployment. The work directly impacts enterprise-wide transformation, driving significant revenue increases and cost reductions for clients. This is a hybrid role based in San Francisco, New York City, or London.

$132k - $240k

WRITER is seeking an exceptional software engineer to join their rapidly evolving team. In this pivotal role, you will be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You will dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works. This role is hybrid, based out of their San Francisco, New York City, or Seattle hubs.

$132k - $240k

WRITER is seeking a highly skilled fullstack software engineer to join their engineering team building advanced AI-driven agent systems. These systems will execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. Collaboration with cross-functional teams to translate complex agent concepts into production-ready systems is a key aspect of this position. WRITER is a rapidly growing company in the enterprise generative AI space, backed by significant investors and used by major enterprises.

$132k - $240k

Labelbox is seeking a Member of Technical Staff to lead the design, development, and production of Frontier Data Products. This role involves building the essential sandboxed, reproducible environments that AI agents require for training and evaluation, including terminals, browsers, and tool-augmented workspaces. You will be responsible for writing production-quality infrastructure, integrating with the RL tooling ecosystem, and ensuring environments are robust and observable. A strong understanding of how RL training loops consume environments and potential failure points is crucial.

$140k - $200k

Crusoe is seeking a Senior Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing AI infrastructure. This role focuses on making large language models run faster, cheaper, and more reliably in production by owning the inference stack end-to-end. You will be responsible for profiling performance, implementing modern optimization techniques, and diving deep into serving code. The work is applied, directly impacting customer deployments, and involves tailoring solutions to specific models, traffic patterns, latency targets, and cost constraints. You will collaborate with customer engineering teams, guide workloads from proof of concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering role requiring coding, profiling, and low-level optimization, with a customer-facing component and elements of product and technical solutions work.

$250k - $300k

Snorkel AI is seeking a Forward Deployed Engineer specializing in Synthetic Data Generation to collaborate with leading AI labs and enterprises on critical AI initiatives. In this role, you will spearhead the technical execution of complex customer projects that leverage synthetic data to enhance model training, evaluation, and overall performance. You will be responsible for transforming vague model and data challenges into concrete data strategies, developing robust generation and evaluation pipelines, and utilizing experimentation to continuously improve data quality and downstream model results. Your work will span the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across engagements to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.

$200k - $275k

Anthropic

The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.

$320k - $485k

Handshake is seeking a Senior Software Engineer to join the Backend Platform team, with a primary focus on supporting Handshake AI (HAI) and internal AI initiatives. This role involves building and maintaining backend services, shared platform capabilities, and developer tooling. The work will center on core backend platform concerns such as service architecture, APIs, data systems, performance, reliability, and developer experience, with an increasing use of LLMs and agents. The ideal candidate will possess strong backend fundamentals combined with practical knowledge of LLM-powered and agentic systems.

$208k - $260k

Gecko Robotics is seeking an AI/ML Engineering Intern to join their Engineering team for Summer 2027. This is a full-time, onsite internship where you will work on a defined project that turns inspection data into decisions, building models and the systems around them that run reliably on real customer data. This role focuses on building the systems that analyze data, rather than just the analysis itself. Candidates must be authorized to work in the United States due to government program requirements.