UNKNOWN

FEED

Observability & Monitoring - Monitor/measure the efficacy of the automation infrastructure and implement logging, metrics and alerting systems using tools like Datadog, AWS CloudWatch, GitHub metrics, etc. By leveraging advanced search capabilities and comprehensive analytics, DPS and DPA enables intellectual property professionals to efficiently uncover critical patent information, monitor industry trends, and make informed decisions.

Clarivate Plc

Senior DevOps Engineer

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Our passionate leadership and cross‑functional collaboration with product managers, mechanical engineers, industrial designers, and manufacturing teams is vital to the success of the team and ensuring the safety of the general public for generations to come. Lead end-to-end development of scalable hardware platforms integrating high-speed digital designs (including FPGA-based architectures), analog sensor interfaces, and high-integrity power delivery systems.

YEAR

Axon Enterprise Inc

Sr Digital Design Electrical Engineer

Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters Serve as a primary networking point of contact for backend fabrics, including Arista and internally developed network OS-based scale-out networks supporting AI workloads Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport Perform hands-on troubleshooting and root-cause analysis across L1-L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues Support silicon, hardware, and software bring-ups, ensuring reliable connectivity and on-time validation Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions Provide direct consultation and training to cross-functional partners, enabling teams to operate and troubleshoot lab networks End-to-end ownership of projects from requirements definition through customer handoff Collaborate closely with hardware, software, systems, and lab operations teams to validate new platforms, optics, and network designs Support limited travel (about 10%) for critical lab builds, migrations, or escalationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience 10+ years of experience designing, deploying, and operating network infrastructure in production or lab environments Experience working in multi-vendor network environments (e.g., Arista, Cisco, Juniper, open network OS-based platforms) Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACsec, and EVPN/VXLAN Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling Demonstrated experience to operate consistently while working under your own initiative, seeking feedback and input where appropriate in a global, time-critical environment, managing multiple priorities and mission-critical timelines Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review) Hands-on experience with disaggregated networking products and software, such as Meta's open network OS (FBOSS), SONiC, Cumulus Linux, or equivalent open networking platforms Experience with network automation, CI/CD pipelines, audit frameworks, and validation tooling Networking L1 expertise in validating multi-vendor optics, with proficiency in using the BCM shell and I2C utilities to troubleshoot hardware-level issues Hands-on experience with lab test equipment, optics qualification (e.g., 400G/800G), optical switches and physical infrastructure Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Hold networking certifications such as CCIE, JNCIE, or equivalent Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Understanding of physical infrastructure design, including structured cabling, space, power, and cooling systems Experience supporting AI/ML or high-performance compute clusters in lab or pre-production environments Hands-on experience with backend cluster networking, including scale-out fabrics, RDMA networks, and congestion managementMeta builds technologies that help people connect, find communities, and grow businesses. Meta's Lab Infrastructure, Network, Compliance, and Security (LINCS) team is seeking a network engineer to help build and scale the network infrastructure supporting Meta's global lab footprint.

Meta Platforms Inc

Network Engineer, Engineering R&D Environments

Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. With more than 45,000 AI and data professionals across the company, our AI & Data practice brings together cutting-edge AI technologies, deep industry experience, strategic investment, exceptional interdisciplinary talent, and a powerful ecosystem of partners to help clients scale AI with speed and confidence.

Accenture Plc

AI/ML Computational Science Engineer

Interns work alongside AV team members on meaningful projects involving cutting-edge technology while developing professional relationships, strategic problem-solving skills, and practical experience in a full-time work environment. In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction.

Who We Are
Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we&rsquo;ve been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world&rsquo;s most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution&rsquo;s permanent collection in Washington, DC.
Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty &ndash; and succeed.
We offer our employees&nbsp;full medical, dental, vision benefits all&nbsp;beginning&nbsp;day 1 of employment.&nbsp; &nbsp;For more details visit: <a href="http://www.myavbenefits.com">www.myavbenefits.com</a> Paid time&nbsp;off:&nbsp;&nbsp;2 weeks vacation, plus paid company holiday shut down Dec. 25 - Jan 1. 9/80 work schedule: every other Friday off! A fun and collaborative work environment encouraging personal growth and creative innovation;&nbsp;AV is a tech start-up with stability.

Aerovironment

Titan-Sv Software Engineer Intern

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As a chief architect on our team, you'll translate your customer's IT needs and future goals into a plan by crafting architecture products and design specifications, leading prototyping efforts, and working directly with the customer to help transform the way the customer's organization uses technology to enable the delivery of new mission and enterprise-level capabilities. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.

Booz Allen Hamilton Inc.

Chief Engineer, Senior

POSITION SUMMARY: The Systems Engineer I is responsible for assisting in the development and management of requirements and specifications, system integration and testing of electromechanical, fluidic, thermal control, and imaging systems, and formal verification and validation testing. This salary range represents a general guideline as MSD considers other factors when presenting an offer of employment, such as scope and responsibilities of the position, external market factors, and the candidate's knowledge, skills, abilities, education and experience.

Meso Scale Discovery

Engineer I, Systems

Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. This position will support modernization initiatives including Zero Trust Architecture (ZTA), Trusted Internet Connections (TIC) 3.0, cloud security, security operations, vulnerability management, continuous monitoring, governance, and AI-enabled automation.

DevSecOps Engineer (Job 1459)

You will work closely with a multi-disciplinary team of engineers, architects, developers, software integrators, and system administrators on the following key tasks: Deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications: BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering or related field.

Everything we do is built on our commitment to do the right thing for our customers, our employees, and our communities. Learn more about the values and culture that are the foundations of our business.

Leidos

IRecruitee

AeroVironment Inc

Titan-SV Software Engineer Intern

Lead or provide engineering technical direction for problem definition, analysis, development, and implementation of complex systems by applying systems engineering principles across all phases of the DoD 5000 acquisition process, including defining system requirements, interfaces, and Design Reference Missions (DRMs) and refining them as needed throughout system design and development. Experience supporting the design, development, and review of systems engineering design artifacts, including System Requirements Document (SRD), Subsystem Requirements Document (SSRD), Test Requirements Document (TRD), requirements analysis, interface design, system architecture development, systems hardware and software design, and system performance analysis.

Booz Allen Hamilton Inc

Systems Engineer, Senior

This highly visible position requires a strong technical background, solid understanding of our customer expectations, ability to work independently to achieve day-to-day objectives, and possesses the ability to work and communicate effectively with team members as well as the military/government operators. August 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

GEOINT Systems Test Engineer

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Bachelor’s degree in Computer Science, Cybersecurity, Software Engineering, or related field with a minimum of 10 years of experience; or Master’s degree in Computer Science, Cybersecurity, Software Engineering, or related field with a minimum of 6 years of experience; or High School Diploma with a minimum of 12 years of relevant experience. This role focuses on strengthening enterprise cybersecurity posture through a combination of vulnerability management, secure engineering practices, DevSecOps integration, and advanced threat detection, while incorporating Zero Trust principles as part of a comprehensive defense strategy in multi-tenant cloud and on-premises environments.

Cyber Security Engineer (Job 1480)

Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader security community. Get access to university resources including mindfulness programs, childcare and back-up care benefits, a monthly transit benefit on WMATA, free transportation on the Pittsburgh Regional Transit System.

Carnegie Mellon University

Reverse Engineer Researcher

FULL_TIME

Experience building and deploying end-to-end Generative AI applications, RAG frameworks, and agentic workflows in production cloud environments, and can show how you resolved complex technical challenges along the way. Own the design, build, and deployment of autonomous AI agents and securely grounded RAG pipelines using Amazon Bedrock, OpenSearch, and Model Context Protocol (MCP) to execute complex business tasks.

EchoStar

Senior AI Engineer

[AW]-iCims

Available across cloud, on-premises, and edge environments, SeekrFlow reduces bias, strengthens data integrity, and simplifies model oversight so organizations can rely on trusted AI decisions in high-stakes settings that impact society's most sensitive and vital systems. Placement within the range depends on a number of factors, including but not limited to geographic location, applicable labor categories under Seekr's federal government contracts, relevant prior work experience, specific skills, education, and certifications.

Seekr Technologies

AI Engineer, Public Sector

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).

Google LLC

Data Scientist, Research Intern, PhD, Summer 2027

This is a field-based position primarily supporting customers throughout the Pacific Northwest and broader Western and Midwestern regions, requiring frequent regional and North American travel, with periodic international travel for training. They should have strong troubleshooting, problem-solving, and communication skills and be comfortable working independently while supporting customers and collaborating with internal engineering teams.

Nano Dimension Ltd

Pacific Mid-West Field Service Engineer

Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. You Are: As a Snowflake Advanced AI Engineer, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.

Research Engineer Jobs in Chantilly, VA

Senior DevOps Engineer Clarivate Plc

Sr Digital Design Electrical Engineer Axon Enterprise Inc

Network Engineer, Engineering R&D Environments Meta Platforms Inc

AI/ML Computational Science Engineer Accenture Plc

Titan-Sv Software Engineer Intern Aerovironment

Chief Engineer, Senior Booz Allen Hamilton Inc.

Engineer I, Systems Meso Scale Discovery

DevSecOps Engineer (Job 1459) DLH

Senior DevOps Engineer Leidos

Titan-SV Software Engineer Intern AeroVironment Inc

Systems Engineer, Senior Booz Allen Hamilton Inc

GEOINT Systems Test Engineer Leidos

Cyber Security Engineer (Job 1480) DLH

Reverse Engineer Researcher Carnegie Mellon University

Senior AI Engineer EchoStar

AI Engineer, Public Sector Seekr Technologies

Data Scientist, Research Intern, PhD, Summer 2027 Google LLC

Pacific Mid-West Field Service Engineer Nano Dimension Ltd

Snowflake Advanced AI Engineer Accenture Plc

Systems Engineer, Mid Booz Allen Hamilton Inc.

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