1 to 25 of 31 Remote Distributed Computing Jobs

and building solutions. You will collaborate with scientists, research engineers, and platform engineers to build and deploy scalable data pipelines for machine learning. Your expertise spans data processing and distributed systems, with a focus on software engineering. You will work at the intersection of research and product, building generative AI features in Autodesk products. You will report to: Manager … supports a hybrid work environment, allowing remote, in-office, or mixed work arrangements. Responsibilities Collaborate on engineering projects with a diverse, global team of researchers and engineers. Develop scalable distributed systems for processing, filtering, and deploying datasets for machine learning. Process large, unstructured, multi-modal data sources (text, images, 3D models, code, metadata) into ML-ready formats. Conduct experiments … testing, and deployment. Experience in data modeling, architecture, and processing unstructured data. Experience with processing 3D geometric data. Experience with large-scale, data-intensive systems in production. Knowledge of distributed computing frameworks (Spark, Dask, Ray). Experience with cloud platforms (AWS, Azure, GCP). Proficiency with Docker, Linux, and bash. Ability to document code, architectures, and experiments. Preferred More ❯

Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to work at the forefront of More ❯

you will be responsible for: Design, build, and maintain robust ETL/ELT pipelines across multiple data sources and formats Develop and optimise scalable data solutions using Python and distributed computing tools Work with structured and unstructured data across on-prem and cloud-based data platforms Support data quality, data governance, and compliance standards across projects Collaborate with More ❯

are building Galileo , a next-generation, cloud-native platform that will turn OLI’s renowned engine into a global service. This is a ground-up re-architecture that adds distributed computing, AI-assisted simulations, and hardened infrastructure for always-on availability. Join a small, elite squad inside our Technology Team. You will work shoulder-to-shoulder with domain …/or TypeScript code. Advanced degree in computational chemistry, chemical engineering, or software engineering. Experience rewriting on-prem legacy engines into scalable cloud services. Contributions to open-source scientific-computing projects. Familiarity with distributed computing, scalable cloud services on cloud, or serverless architectures. Certifications in cloud security or AI/ML engineering. Key Competencies Technical Mastery & Architectural More ❯

or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years in ML engineering or data engineering Mindset: Self-motivated with a growth mindset, adaptable to fast-paced startup environment, comfortable with ambiguity More ❯

or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years in ML engineering or data engineering Mindset: Self-motivated with a growth mindset, adaptable to fast-paced startup environment, comfortable with ambiguity More ❯

or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control Experience: 1+ years in ML engineering or data engineering Mindset: Self-motivated with a growth mindset, adaptable to fast-paced startup environment, comfortable with ambiguity More ❯

skills required to triage and resolve complex production issues and operate well in a fast-paced, high-pressure environment. A propensity to automate manual tasks, appreciation for large-scale, distributed computing systems, and a willingness to develop using a wide range of languages and frameworks will be necessary to succeed in the role. As part of a global … to quickly identify scope and impact of issues during high-pressure situations Solid communication and interpersonal skills Ability to multi-task and prioritize tasks effectively Preferred Qualifications Experience with distributed systems design, maintenance, and troubleshooting. Hands-on experience with debugging and optimizing code, as well as automation. Knowledge of financial markets FIX protocol knowledge ABOUT GOLDMAN SACHS At Goldman More ❯

Kit, Terraform) Databases (Elasticsearch, PostgreSQL) Agile Development processes and tools (Scrum, JIRA) Continuous Integration/Continuous Delivery (CI/CD) (GitLab CI, GitLab Runners) Test-Driven Development Methodologies (JUnit) Distributed computing platforms (IaaS, PaaS, SaaS), micro-services, container technologies Web and SOA technologies, RESTful web services, geospatial databases and/or geospatial (GIS) technologies About NextGen: NextGen Federal More ❯

collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. Knowledge More ❯

collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience working with large datasets and distributed computing tools (Hadoop, Spark, etc.) Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.). Experience with data profiling tools and processes. Knowledge More ❯

Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested More ❯

Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring a Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold's scientific computing team to deliver foundational technology behind our algorithms and machine … learning models, and tools that enable KoBold's talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure … opportunities and technologies to build and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution and leadership Develop KoBold's More ❯

As part of our team, you'll enjoy unique advantages that blend research depth with industry impact. You'll have access to vast, proprietary datasets unavailable elsewhere, significant GPU computing infrastructure capable of supporting our in-house LLM training initiatives, and the opportunity to see your research directly impact real-world cybersecurity challenges. You'll be joining a team … 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency with Python, Deep Learning frameworks (TensorFlow, PyTorch), and distributed computing environments Excellent scientific writing and communication skills for both technical and non-technical audiences Proven ability to conduct independent research while collaborating effectively in multidisciplinary teams Bonus … such as information theory, causal inference, or theoretical computer science Expertise in robust AI approaches including adversarial machine learning, multi-agent systems, or emergent behaviors Experience with large-scale distributed training and optimization techniques Knowledge of privacy-preserving machine learning and differential privacy methods Familiarity with next-generation computing paradigms such as neuromorphic computing, brain-inspired architectures More ❯

communicate clearly with peers and stakeholders verbally and via text (video calls, JIRA, Slack, email) Demonstrated ability to focus on analytical tasks such as finding issues in a huge, distributed system A desire to learn and grow daily, both technically and w/soft-skills interpersonally An open-minded and collaborative attitude Preferred technical and professional experience Expertise in … Java and Scala programming on the JVM Experience with concurrency, memory management and I/O Experience with Linux or other Unix-like systems Experience with distributed databases, DataStax Enterprise or Apache Cassandra in particular Experience with distributed computing platforms, Apache Spark in particular ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine … many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM More ❯

communicate clearly with peers and stakeholders verbally and via text (video calls, JIRA, Slack, email) Demonstrated ability to focus on analytical tasks such as finding issues in a huge, distributed system A desire to learn and grow daily, both technically and w/soft-skills interpersonally An open-minded and collaborative attitude Preferred technical and professional experience Expertise in … Java and Scala programming on the JVM Experience with concurrency, memory management and I/O Experience with Linux or other Unix-like systems Experience with distributed databases, DataStax Enterprise or Apache Cassandra in particular Experience with distributed computing platforms, Apache Spark in particular ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine … many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM More ❯

and communication skills Due to US Government Contract Requirements, only US Citizens are eligible for this role. Desired Skills: Experience in the architecture and implementation of medium-to-large distributed computing environments Experience/knowledge of software and system optimization, helping to remove potential performance bottlenecks Experience with maintaining full stack application with modern technologies, intuitive user-interfaces More ❯

ethical guidelines Familiarity with HIPAA compliance requirements Experience with AI model monitoring and maintenance Knowledge of behavioral health interventions Publications or research experience in AI/ML Experience with distributed computing and GPU optimization Department Contact for Recruitment Inquiries: Jamie Ibey Department Contact Phone Number: Department Contact for Cover Letter and Title: Nicholas Jacobson, PhD Equal Opportunity Employer More ❯

As a backend development team, we are experienced advocates of functional programming so you can expect to join a team that is applying principles from FP, Reactive Programming and Distributed Computing to build these services, using Scala, Akka, Kafka, Play and Cats, as well a wide range of cloud-native technologies including AWS (Kinesis, DynamoDB, Lambda), Docker and … applications - "You build it, you run it." What you will do: You will be using Scala , Akka , Kafka , Kinesis , and Dynamo to build and innovate our software that is distributed, reactive, and scalable. You will: Lead a product engineering team, ultimately responsible for the delivery of that product Lead the design, build, and evolution of the backend services that … ability and build a profile within and outside the organisation Engineer technical software solutions primarily using Scala based microservices deployed within AWS infrastructure Support high traffic API services, globally distributed data and apply event-driven architectures Influence and drive software engineering and architecture best practices and standards within the team and the wider community Apply principled engineering practices including More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

Enertek Group Type: Full-time | Leadership | Equity Available About Us We are building the future of compute. Our platform is a decentralized, enterprise-grade cloud network , delivering scalable, globally distributed GPU resources for AI training , high-performance gaming , and Web3 infrastructure . By democratizing access to GPU power, we are accelerating innovation in machine learning, blockchain applications, and immersive … the economics and accessibility of large-scale computing. The Role We are looking for a visionary Head of Engineering to lead our growing team of backend, blockchain, DevOps, and distributed systems engineers. You will set the technical roadmap, scale the team, and help us deliver a robust, secure, and performant decentralized GPU network. Key Responsibilities Technical Leadership: Own and … evolve the technical architecture of a globally distributed compute platform. Team Management: Hire, mentor, and grow high-performing engineering teams across backend, protocol, and infrastructure domains. Strategic Planning: Collaborate with product, research, and business teams to define and execute the technical vision. Scalability & Performance: Ensure our platform is scalable, secure, and highly available across global regions. Security & Reliability: Champion More ❯

Enertek Group Type: Full-time | Leadership | Equity Available About Us We are building the future of compute. Our platform is a decentralized, enterprise-grade cloud network , delivering scalable, globally distributed GPU resources for AI training , high-performance gaming , and Web3 infrastructure . By democratizing access to GPU power, we are accelerating innovation in machine learning, blockchain applications, and immersive … the economics and accessibility of large-scale computing. The Role We are looking for a visionary Head of Engineering to lead our growing team of backend, blockchain, DevOps, and distributed systems engineers. You will set the technical roadmap, scale the team, and help us deliver a robust, secure, and performant decentralized GPU network. Key Responsibilities Technical Leadership: Own and … evolve the technical architecture of a globally distributed compute platform. Team Management: Hire, mentor, and grow high-performing engineering teams across backend, protocol, and infrastructure domains. Strategic Planning: Collaborate with product, research, and business teams to define and execute the technical vision. Scalability & Performance: Ensure our platform is scalable, secure, and highly available across global regions. Security & Reliability: Champion More ❯

Life Cycle (SDLC) methodology, translating business requirements into stories and epics. Proficiency in creating and maintaining clear, comprehensive technical documentation and API specifications. Desired Understanding of ultra-low latency distributed computing environments. Familiarity with FIX trading protocol and market data systems. Understanding of networking (TCP and UDP) and multicast data delivery. Understanding of traditional and on-premises physical … infrastructure and distributed server architectures running on Linux. Experience working in a highly regulated environment. Familiar with creating wireframes, a visual representation and outlining a framework for graphical user interface development. Proficient in Spanish. Skills Excellent verbal and client-facing skills, high degree of professionalism. Detail oriented. Collaborative. Analytical and problem-solving attitude. Strong organisational and time management skills. More ❯

take ownership of building a mature, scalable ML research and deployment pipeline. You’ll work across the full ML lifecycle, including: Ingesting and managing new datasets Building tools for distributed training and inference Creating robust deployment and production support systems You’ll leverage your ML Ops experience to assess the current landscape, identify gaps, and lead the technical direction … coding skills in Python A deep understanding of ML lifecycle pain points and practical solutions Experience building systems for scaling training, versioning, and deployment Bonus points for experience with distributed compute, data engineering, and orchestration frameworks (e.g. Airflow, Ray, KubeFlow). Why join? Top-tier quant finance firm with huge tech investment Competitive base salary + 50–100%+ More ❯