The Field Engineer will install, operate, and maintain air quality and continuous emissions monitoring systems (CEMS) and Workplace Monitoring Systems (WMS), conducting critical quality assurance testing and calibrations. Responsibilities also include communicating project requirements with managers, coordinating deadlines with clients, and training customers on system functionality.
Remote Software Engineer Jobs (18,412)
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The primary responsibility involves upholding and enhancing quality standards across the product suite by conducting various test types throughout all development stages. This includes analyzing requirements, planning and executing testing activities like manual UI and API testing, reporting bugs, and preparing quality reports.
This role involves leading the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, working at the intersection of ML, distributed systems, and production software engineering. The Lead ML Engineer will guide ML architecture decisions, mentor other engineers, and collaborate cross-functionally to deliver high-impact AI solutions.
The role involves dedicating about 60% of time to programming tasks like building the data platform, developing ETL processes, and managing DAGs for robust data formation. The remaining time is split between data analysis, translating business questions into actionable data models, and ensuring internal stakeholders have the necessary data for growth.
The role involves leading the design and implementation of cloud-based data platforms, pipelines, and data hubs, while also supporting the modernization of legacy data systems to cloud-native architectures. Responsibilities include building scalable data pipelines with strong observability and developing reusable components for data ingestion, transformation, and serving.
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The Senior Support Engineer will provide exceptional remote support for mission-critical SAP HR/Payroll applications globally, focusing on researching, troubleshooting, and delivering solutions for issues related to HR/Payroll, Personnel Administration, and Time Management. This includes diagnosing issues and configuring, testing, and delivering fixes in complex, integrated environments, with a mandatory focus on UK payroll regulations.
The role involves researching and building deep learning systems for expressive speech generation and developing state-of-the-art generative systems for video and audio synthesis. As a senior member, the engineer will shape core infrastructure, set best practices, and mentor junior staff while delivering high-quality ML pipelines in production.
The engineer will architect and develop core backend services using Spring Boot to power an AI-driven platform, focusing on designing scalable distributed systems that process sensitive healthcare data. Responsibilities include implementing monitoring infrastructure, managing AWS scaling, and owning major features end-to-end from architecture to deployment.
Security Engineers will plan and engineer the integration of various cybersecurity and IT tools into the core artificial intelligence engine, ensuring AI has access to common data models and function execution across disparate systems. They will also provide cybersecurity subject matter expertise to optimize autonomous reasoning and own the internal corporate cybersecurity posture across endpoints, cloud systems, and build pipelines.
The Staff Backend Engineer will drive the architecture and technical roadmap for core backend services, leading the design and implementation of scalable APIs and data processing pipelines. This role involves guiding critical initiatives, collaborating on system performance, and mentoring engineers across teams.
Senior Data & AI Platform Engineer (AWS, Snowflake, Vector Search) 83 APPLICANTS
RevenueBase Inc
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Full Time
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12 Weeks Ago
RevenueBase Inc
The role involves designing and building data-driven tools operating on large datasets in S3 and Snowflake, focusing on implementing pipelines that generate vector embeddings and enable semantic search. Responsibilities also include developing enrichment workflows using LLM APIs and building reusable internal services around embedding generation and data augmentation.
The Research Engineer is responsible for building research prototypes, developing evaluation tooling for decision systems, and implementing experimental system architectures to enable fast iteration between theory and validation. This role also involves maintaining the technical research infrastructure necessary for applied research initiatives.
The role involves delivering product features end-to-end across the web platform by collaborating with Product and Design to define requirements and owning the entire development cycle using the React/Node stack. Engineers will also contribute to engineering excellence through code reviews, improving practices, and participating in on-call rotations.
The role involves scaling the decision-making processes for the AI team, covering workflows, training infrastructure, and Kubernetes deployments, while also improving the developer experience for the data science team. The engineer will serve as a technical lead, mentor the team, and ensure smooth infrastructure evolution during deployments.
The Senior Mask Layout Engineer will own full-reticle tapeouts for trapped-ion quantum computers, developing and maintaining internal PDK and circuit layout libraries. This role involves writing scripts to automate mask layout and interfacing with cross-functional teams to develop new quantum technology.
The role involves designing cutting-edge detection strategies and supporting the development of modern cybersecurity monitoring programs for customers by leveraging SIEM, SOAR, EDR, and NDR services. Responsibilities include utilizing these technologies to build robust threat detection capabilities, designing enrichment pipelines, and creating automation playbooks for incident triage and response.
The Field Services Engineer will be responsible for delivering on-site technical support, installation, maintenance, and repair services for visitor counting systems across various client locations. Key duties include installing and configuring hardware, diagnosing technical issues, performing scheduled maintenance, and maintaining accurate service documentation.
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Senior AI Agent Engineer - Fully Remote Job 26 APPLICANTS
Openprovider
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Full Time
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13 Weeks Ago
Openprovider
The role involves modernizing and refactoring large legacy systems in PHP and Go, leveraging AI tools responsibly to accelerate these processes and establish safer engineering workflows. Key duties include designing and implementing AI Agents to assist, audit, and automate parts of the software engineering lifecycle.
This Principal Design Engineer will ensure the alignment, accuracy, and coordination of large-scale environmental and infrastructure project design packages, integrating seamlessly across all engineering disciplines, budget, schedule, and regulatory requirements. The role involves serving as a key liaison between engineering teams, project managers, clients, and external stakeholders to facilitate design integration throughout the project lifecycle.
The role involves designing, developing, and optimizing FPGA-based solutions specifically for ultra-low-latency trading systems, including implementing hardware acceleration for tasks like protocol parsing and market data processing. Responsibilities also include performing detailed timing analysis, resource optimization, and collaborating with software developers, traders, and researchers to ensure peak performance and integration.
The Solutions Engineer will act as the technical liaison between the AI platform and enterprise clients, designing, demonstrating, and implementing social intelligence solutions for use cases like crisis management and competitive intelligence. Key duties involve architecting deployments, translating complex AI capabilities into business value, building compelling proofs of concept, and collaborating across sales, product, and engineering teams.
The engineer will be responsible for designing, developing, and maintaining high-performance, scalable backend systems for predictive systems and generative AI, primarily using Python and FastAPI. This includes integrating services, managing AWS infrastructure, and designing data collection pipelines for Large Language Models.
Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead (GPSSC)
General Motors
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Full Time
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13 Weeks Ago
General Motors
The Principal AI Safety Engineer will lead the development of AI safety strategies for Automated Driving Systems (ADS), establish safety engineering guidance, and define sufficiency criteria. This role involves engaging with cross-functional partners to define safety strategies, evaluate model safety, and provide expert guidance to development teams.
The Staff Machine Learning Engineer will serve as the technical lead for an ML team, setting direction, designing, building, and scaling ML systems for personalization, relevance, ranking, search, or ad use cases. This role involves owning end-to-end architecture, driving design reviews, and mentoring engineers while remaining hands-on in development.
The engineer will design, implement, test, and maintain core client features in Go, focusing on connection orchestration, NAT traversal, and encrypted transport lifecycle. Key tasks include shipping end-to-end client features, improving reliability and performance, and diagnosing issues.
The engineer will design, implement, test, and maintain core client features in Go, focusing on connection orchestration, NAT traversal, and encrypted transport lifecycle. Key tasks include shipping end-to-end client work, diagnosing performance issues, and championing engineering excellence through code quality and documentation.
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The engineer will automate infrastructure provisioning, deployment, and operational workflows while building and improving internal tools to enhance developer productivity. They will also manage and evolve the AWS infrastructure using Terraform and participate in on-call rotations.
The Senior AI/ML Engineer will architect, design, and develop AI/ML solutions, implementing models ranging from traditional machine learning to modern AI techniques like LLMs and generative AI. This role involves collaborating with stakeholders to define scope and building robust, scalable AI systems adhering to responsible AI principles.
This role involves leading deep technical discovery with engineering teams to understand complex AI workload requirements, translating customer ambitions into production-feasible, scalable, and economically viable architectures. The engineer will partner closely with Sales to influence deal strategy, prevent misaligned commitments, and ensure high PoC-to-production conversion rates.
The role involves building and scaling data and AI infrastructure, focusing on designing resilient data pipelines, APIs, and cloud architectures to power next-generation energy intelligence. Key tasks include architecting ingestion systems for energy data and building infrastructure to enable AI tools and coding agents for workflow automation.
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