249 jobs found

Job Description Job Description Artificial intelligence is changing war - making decisions in combat quicker and more accurate, while enabling information to be shared more rapidly across both America's and her adversaries' militaries. Modern Intelligence builds Sovereign, the first defense-purpose foundation AI for unmanned systems, to be the standard battlefield AI on every Western unmanned system. Today, Sovereign allows drones as varied as unmanned vessels on water to backpack attack quadcopters to see, decide, and act even when jammed. We believe the responsibility of reliably and ethically building lethally autonomous AI is immense to our service members, the American people, and civilians everywhere. Modern Intelligence has worked with partners across the Department of War including the Air Force, Navy, Marine Corps, Special Operations Command (SOCOM), the Office of the Under Secretary of War for Research and Engineering, and countless unmanned systems hardware companies. We have raised more than $22M in venture capital from Exponential, Oxford Funds, Bedrock, Vine Ventures, Contrary, Air Street, Caffeinated, Champion Hill, Swell, Myelin, and others. Details We are looking for a software engineer excited to take technology demonstrated on test ranges and relatively peaceful theaters and see it proven on the battlefield. We have a small software team, but are looking to grow it rapidly. We are seeing significant increase in customer engagement and are looking to expand capacity on an established team. We need engineers willing to travel and support field deployments and integrations. And importantly, we want to take our product to and prove it in Ukraine. Our product, Sovereign, is an Automated Target Recognition and Automated Terminal Guidance solution that works on any platform in any domain - we are currently working to expand its capability to meet any autonomy requirement for any unmanned system. We are looking for engineers passionate about drones, autonomy, supporting our service men and women, and defending democracy and freedom around the world. Requirements Proficiency in a compiled systems language: C++, Rust, or C. Our primary codebase is C+; we do not expect you to know C+ on day one, but we do expect you to already think in terms of memory, types, and build artifacts. Comfortable writing Python. Comfortable developing on Linux: command line, git, and code review. Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Mathematics, or comparable, or equivalent demonstrated experience. Willingness to travel and support field deployments and integrations. Must be a U.S. person (U.S. citizen, lawful permanent resident, or other protected individual as defined by 8 U.S.C. 1324b(a)(3 . This role works on export-controlled technology. Preferred Qualifications Experience with Bazel, or with CMake and an appetite for learning Bazel. Applied linear algebra: coordinate frames, covariance, Kalman filters, geodesy. Experience with Docker and containerized builds. Experience with video pipelines: GStreamer, ffmpeg, RTSP/RTP/etc. Experience with an inference runtime such as ONNX Runtime or TensorRT. Experience with CUDA or GPU programming. Experience with cross-compilation and embedded Linux, such as Jetson and ARM targets. Experience with protobuf and/or gRPC. Experience with TypeScript and React (our operator UI), or with PyTorch (our model training and export) Nice to have Experience with Dart and Flutter. Experience targeting ML accelerators: Hailo, Qualcomm QNN, XNNPACK, ARM Compute Library. Experience building for Windows, macOS, or Android. Experience with MAVLink or other drone software. Experience with Slurm or other cluster training workflows. Prior defense industry experience, or an active or previously held clearance. Compensation Specifics Final offer depends on demonstrated depth in a systems language and how much of the stack you can pick up quickly. Equity is granted on top of base for every full-time role. Benefits Full medical for employee and family Full dental and vision for employee and partial coverage for your dependents. Generous and flexible PTO Paid Holidays: All federal holidays + last two weeks of the calendar year Paid Parental Leave: 12 weeks People's lives will depend on the code that you write here. If you want to do something that actually matters, let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About NewsBreak Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what's going on in their zip code. Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn. Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We're Great Place to Work certified and named to Fast Company 's Best Workplaces for Innovators (2025) and Fortune 's Best Workplaces in the Bay Area (2026). Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us. Learn more at: NewsBreak, Nearby AI, NDot AI About the role: We're hiring a Machine Learning Infrastructure Engineer to help build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products. You'll join a small, high-ownership team that ships platform improvements end-to-end-partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model. You'll work across the ML lifecycle: making training faster and more reliable, improving model serving performance, and strengthening our feature/embedding platform so models stay fresh and consistent between offline and online use. We're looking for someone who can take real ownership, finish what's started, and raise the bar on stability and developer experience. Why this role Scope & impact: small team, big surface area-your work lands directly in production. Ownership: from design to rollout to post-launch learnings; real autonomy with support. Growth: visibility across the stack and a clear path to lead projects and mentor others. Pragmatic culture: we optimize for outcomes over buzzwords, and we value clear thinking, and follow-through. If you like building reliable systems that make ML teams move faster-and you enjoy turning complexity into simple, durable solutions-we'd love to talk. Responsibilities Design and develop machine learning infrastructure. Own and enhance core components of the ML infrastructure, including systems for offline and online model training, model pipeline health monitoring, model serving, feature authoring, and feature serving. Proactively address ML infrastructure issues that may impact production. Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure. Requirements Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant work experience; or a Master's/PhD in a related discipline. Familiarity with software development processes, including version control, bug tracking, and design documentation. Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java Basic knowledge of Applied Machine Learning and experience with major Deep Learning frameworks, such as PyTorch and TensorFlow. Preferred qualifications Familiarity with cloud services such as AWS, GCP, Azure, and others. Contributions to open-source machine learning or infrastructure tools. A systematic, data-driven problem-solving approach combined with strong communication skills. The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $125,000-$175,000 USD CPRA Privacy Notice for California Candidates

Job Description Job Description Position: Senior Network Test Engineer Duration: 12 Months Contract to Hire Location: New York, NY (Hybrid 3 - 4 Days a Week Onsite) Key Responsibilities: Network Routing and Switching Engineer is responsible for testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) Rapid certification of patches/ SMU/ codes - with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. Develop and design testing for various network hardware, including routers, switches. Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. Document and present recommendations and finding to the wider teams, including testing results and certifications. He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. Providing guidance to the wider teams related to platforms and designs This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innovating, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. The position is in NY, requires on site presence 3 - 4 days weekly. Experience: Senior level, experienced, can lead projects and work independently. 8+ years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. Experience with testing design and certification of products in LAB environments is highly desirable. CCIE or at a min CCNP level experience. Skills Required: Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. Experience with Cisco Platforms such as Catalyst and Nexus. Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. Good foundation in Linux administration, networking, and automation. Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel-level telemetry Good knowledge of Python, Github. Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. Some proficiency in the ROBOT Framework is a big plus Experience with Arista Platforms such as 7280, 7504, 7060 etc. Experience developing strategies with multiple vendors. Experienced with creating design documents for each certification which includes engineering guidelines. Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. Understanding of network protocols, network platforms such as Cisco/Arista to design and troubleshoot new implementations. Good protocol level understanding/ Wireshark. Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. IP Routing Platforms, ISR4k, ASR1K, Catalyst. Cisco/ Arista Switching Platforms Catalyst switches. strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. Understanding of new protocols being deployed intra and inter Data Center. AWS (or Azure cloud equivalent) is desirable. Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. Cloud computing, Virtualization industry standard and trends, server technologies a plus. Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. L2 and L3 QoS are a plus. Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates : Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Job Description Job Description Position : Senior Network Engineer Location : New York, NY - Hybrid Duration : Fulltime Job Description: Key point: Strong expertise in Linux networking, network testing automation, Kubernetes/ eBPF-based observability/ cloud-native network. " Testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. " The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. " A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. " Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. " This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) " Rapid certification of patches/ SMU/ codes with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. " Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). " Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. " Develop and design testing for various network hardware, including routers, switches. " Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. " Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. " Document and present recommendations and finding to the wider teams, including testing results and certifications. " He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. " Providing guidance to the wider teams related to platforms and designs " This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innova ting, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. " Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. " Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. " The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. " The position is in NY, requires on site presence 3 4 days weekly. Experience: " Senior level, experienced, can lead projects and work independently. " 8 years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. " Experience with testing design and certification of products in LAB environments is highly desirable. " CCIE or at a min CCNP level experience. Skills Required: " Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. " Experience with Cisco Platforms such as Catalyst and Nexus. " Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. " Good foundation in Linux administration, networking, and automation. " Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. " Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel- level telemetry " Good knowledge of Python, Github. " Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. " Some proficiency in the ROBOT Framework is a big plus " Experience with Arista Platforms such as 7280, 7504, 7060 etc. " Experience developing strategies with multiple vendors. " Experienced with creating design documents for each certification which includes engineering guidelines. " Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. " Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. " Understanding of network protocols, network platforms such as Cisco/Ari sta to design and troubleshoot new implementations. " Good protocol level understanding/ Wireshark. " Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. " IP Routing Platforms, ISR4k, ASR1K, Catalyst. " Cisco/ Arista Switching Platforms Catalyst switches. " strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: " Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. " Understanding of new protocols being deployed intra and inter Data Center. " AWS (or Azure cloud equivalent) is desirable. " Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. " Cloud computing, Virtualization industry standard and trends, server technologies a plus. " Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. " L2 and L3 QoS are a plus. Other Requirements: " Manage vendors, coordinate testing and evaluate PoC. " Possess ability to quickly and effectively interpret data. " Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. " Ability to work independently and within a global testing team environment. " Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. " Ability to prioritize effectively with good time management skills. " Excellent interpersonal skills, strong logical and analytical skills " Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must " Ability to move quickly and multitask in a fast-paced environment. " Stakeholder management and providing reports and overviews to both technical and non-technical senior management.

Job Description Job Description Job Title: Network Engineer - Network Tooling, Automation & Observability Mode : Contract (6 Months) Onsite Location: 170 Data Dr, Waltham, MA 02451 / OR 55 Bearfoot Rd, Northborough, MA 01532 (Mention preferred location in submission) Responsibilities: Experienced US-based Network Engineer specializing in Network Tooling, Automation and Observability required to support the continued development and modernization of network engineering capabilities. The role will focus on the engineering, administration, integration, and automation of network management and observability platforms, including Thousand Eyes, SolarWinds, Infoblox DDI, NetBrain, and ServiceNow (SNOW). The engineer will work across network engineering and platform capabilities to improve network observability, telemetry, automation, data quality, and operational insight. A key part of the engagement will be developing integrations between network platforms using Python, scripting and APIs, and applying modern NetDevOps and software delivery practices to network engineering. The role will also support the evolution of data-driven network operations and AIOps by using network telemetry and operational data to improve visibility, proactively identify issues, correlate events, and enable automated remediation. Key Responsibilities Engineer, operate, maintain, integrate, and enhance network tooling platforms including ThousandEyes, SolarWinds, Infoblox DDI, NetBrain, and ServiceNow. Develop integrations between network platforms, devices, and supporting platforms, management tooling, and network services using REST APIs, Python, and scripting. Develop and enhance network observability capabilities using monitoring, telemetry, performance and operational data. Design and implement network configuration automation and repeatable engineering workflows. Develop reusable scripts, tooling and automation to reduce manual engineering activity and improve consistency. Apply NetDevOps and modern software delivery practices, including source control, versioning, testing and CI/CD principles, to network engineering. Extract, transform and analyze data from network platforms and APIs to provide actionable engineering and operational insights. Identify opportunities to apply AI and AIOps techniques to network operations, including event correlation, anomaly identification, automation, and the onboarding and integration of AI Agents, Agent Skills, and Agent Workflows to deliver AIOps Integrate network tooling with operational workflows, including ServiceNow, to improve incident, event, and configuration processes. Troubleshoot complex issues spanning network infrastructure, tooling, APIs, integrations, automation and data. Work with network engineering, architecture, operations and platform teams to translate requirements into scalable engineering solutions. Produce and maintain technical documentation, integration designs, automation standards and operational guidance. Contribute to engineering standards and reusable automation patterns across the Network Engineering function. Required Skills & Experience Must have: Strong Network Engineering background, with a good understanding of enterprise LAN/WAN, routing, IP networking, DNS, DHCP and network management concepts. Must have: Strong hands-on Python and scripting experience, with evidence of developing network automation, tooling or integration solutions rather than simply executing existing scripts. Must have: Strong API and systems integration experience, particularly REST APIs and integration between network management or enterprise platforms. Strong experience with network monitoring, management and observability within complex enterprise environments. Hands-on experience with one or more of the following platforms, with the ability to work across and integrate a broader network tooling ecosystem: ThousandEyes SolarWinds Infoblox DDI NetBrain ServiceNow Cisco Meraki Cisco Catalyst Center Cisco Client Experience developing network configuration automation and repeatable automated engineering workflows. Understanding of NetDevOps principles, including Git/source control, CI/CD, testing, and software engineering practices applied to network infrastructure. Experience working with network telemetry, operational data, APIs, and analytics to derive meaningful engineering and operational insights. Understanding of data engineering concepts, including the collection, transformation, normalization, and analysis of data from multiple systems. Understanding of AI/AIOps concepts and how they can be applied to network monitoring, observability, event management and operational automation. Ability to troubleshoot across network, software, API, data, and tooling layers, rather than focusing solely on individual platforms. Experience working within large-scale, complex enterprise network environments. Strong communication skills and the ability to work effectively with network engineers, software/platform engineers, architects and operational teams. Desirable Skills & Experience Advanced experience administering and integrating ThousandEyes, SolarWinds, Infoblox DDI and/or NetBrain. Experience developing integrations with ServiceNow, particularly across network events, incident or configuration workflows. Experience with infrastructure/network -as-code and automation frameworks. Experience developing CI/CD pipelines for network configuration, automation or tooling. Experience working with structured network data, telemetry, data engineering, analytics or visualization. Practical experience applying AI/ML or AIOps capabilities within network operations or observability. Experience with cloud networking, APIs and modern cloud-native tooling. Experience with Git-based collaborative development and code review. Desirable Certifications Cisco CCNP / CCIE Cisco DevNet/Automation Professional or Expert, or equivalent automation/software development certification Infoblox certifications SolarWinds or ThousandEyes platform certifications ServiceNow technical certifications Relevant Python, DevOps, cloud or automation certifications

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Senior Network Test Engineer for a CONTRACT assignment with one of our premier Financial Services clients in New York, NY. Responsibilities : Testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) Rapid certification of patches/ SMU/ codes with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. Develop and design testing for various network hardware, including routers, switches. Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. Document and present recommendations and finding to the wider teams, including testing results and certifications. Work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. Providing guidance to the wider teams related to platforms and designs This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innovating, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. The position is in NY, requires on site presence 3 4 days weekly. Required Skills : Senior level, experienced, can lead projects and work independently. 8 years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. Experience with testing design and certification of products in LAB environments is highly desirable. CCIE or at a min CCNP level experience. Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. Experience with Cisco Platforms such as Catalyst and Nexus. Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. Good foundation in Linux administration, networking, and automation. Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel-level telemetry Good knowledge of Python, Github. Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. Some proficiency in the ROBOT Framework is a big plus Experience with Arista Platforms such as 7280, 7504, 7060 etc. Experience developing strategies with multiple vendors. Experienced with creating design documents for each certification which includes engineering guidelines. Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. Understanding of network protocols, network platforms such as Cisco/Arista to design and troubleshoot new implementations. Good protocol level understanding/ Wireshark. Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. IP Routing Platforms, ISR4k, ASR1K, Catalyst. Cisco/ Arista Switching Platforms Catalyst switches. Strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Manage vendors, coordinate testing and evaluate PoC. Possess ability to quickly and effectively interpret data. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Ability to work independently and within a global testing team environment. Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. Ability to prioritize effectively with good time management skills. Excellent interpersonal skills, strong logical and analytical skills Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must Ability to move quickly and multitask in a fast-paced environment. Stakeholder management and providing reports and overviews to both technical and non-technical senior management. Preferred Skills : Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. Understanding of new protocols being deployed intra and inter Data Center. AWS (or Azure cloud equivalent) is desirable. Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. Cloud computing, Virtualization industry standard and trends, server technologies a plus. Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. L2 and L3 QoS are a plus. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Senior Network Test Engineer New York, NY, requires on site presence 3 4 days weekly. 12 months Enterprise Technology & Services (ETS) and Enterprise Network Services (ENS) Key Responsibilities: Network Routing and Switching Engineer is responsible for testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) Rapid certification of patches/ SMU/ codes with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). Proficiency with tools such as TCPdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. Develop and design testing for various network hardware, including routers, switches. Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. Document and present recommendations and finding to the wider teams, including testing results and certifications. He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. Providing guidance to the wider teams related to platforms and designs This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innovating, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. Experience: Senior level, experienced, can lead projects and work independently. 8 years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. Experience with testing design and certification of products in LAB environments is highly desirable. CCIE or at a min CCNP level experience. Skills Required: Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. Experience with Cisco Platforms such as Catalyst and Nexus. Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. Good foundation in Linux administration, networking, and automation. Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel-level telemetry Good knowledge of Python, Github. Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. Some proficiency in the ROBOT Framework is a big plus Experience with Arista Platforms such as 7280, 7504, 7060 etc. Experience developing strategies with multiple vendors. Experienced with creating design documents for each certification which includes engineering guidelines. Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. Understanding of network protocols, network platforms such as Cisco/Arista to design and troubleshoot new implementations. Good protocol level understanding/ Wireshark. Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. IP Routing Platforms, ISR4k, ASR1K, Catalyst. Cisco/ Arista Switching Platforms Catalyst switches. strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. Understanding of new protocols being deployed intra and inter Data Center. AWS (or Azure cloud equivalent) is desirable. Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. Cloud computing, Virtualization industry standard and trends, server technologies a plus. Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. L2 and L3 QoS are a plus. Other Requirements: Manage vendors, coordinate testing and evaluate PoC. Possess ability to quickly and effectively interpret data. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Ability to work independently and within a global testing team environment. Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. Ability to prioritize effectively with good time management skills. Excellent interpersonal skills, strong logical and analytical skills Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must Ability to move quickly and multitask in a fast-paced environment. Stakeholder management and providing reports and overviews to both technical and non-technical senior management. Enterprise Technology & Services (ETS) delivers and manages essential and innovative technology infrastructure solutions to Brokerage's businesses. ETS is responsible for driving the production, operations, and engineering of our data centers, voice and data networking solutions, mainframe servers and databases, distributed computing, wireless technologies, and associated end user capabilities. A core pillar within ETS is the ENS (Enterprise Network Services) Engineering team. This global team is responsible for Design and deployment of Data and Voice network infrastructure leveraging cutting edge technologies to provide network connectivity with best possible user-experience. This includes Brokerage owned Private Data Center footprints across the globe, Campus & Branch Network, Global WAN & Metro Core network, Public Cloud Connectivity, Internet Plant, trade floor network etc.

Job Description Job Description ob Title: Network Engineer - Network Tooling, Automation & Observability Mode : Contract (6 Months) Onsite Rate - $40/hr. on w2 Location: 170 Data Dr, Waltham, MA 02451 / OR 55 Bearfoot Rd, Northborough, MA 01532 (Mention preferred location in submission) Employment Eligibility Statement Due to specific project and client requirements, this position is open to U.S. Citizens and U.S. Lawful Permanent Residents (Green Card holders) . Sponsorship is not available at this time. Danta Technologies evaluates all candidates in compliance with the Immigration and Nationality Act (INA) and EEOC guidelines . All hiring decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. Responsibilities: Experienced US-based Network Engineer specializing in Network Tooling, Automation and Observability required to support the continued development and modernization of network engineering capabilities. The role will focus on the engineering, administration, integration, and automation of network management and observability platforms, including Thousand Eyes, SolarWinds, Infoblox DDI, NetBrain, and ServiceNow (SNOW). The engineer will work across network engineering and platform capabilities to improve network observability, telemetry, automation, data quality, and operational insight. A key part of the engagement will be developing integrations between network platforms using Python, scripting and APIs, and applying modern NetDevOps and software delivery practices to network engineering. The role will also support the evolution of data-driven network operations and AIOps by using network telemetry and operational data to improve visibility, proactively identify issues, correlate events, and enable automated remediation. Key Responsibilities • Engineer, operate, maintain, integrate, and enhance network tooling platforms including ThousandEyes, SolarWinds, Infoblox DDI, NetBrain, and ServiceNow. • Develop integrations between network platforms, devices, and supporting platforms, management tooling, and network services using REST APIs, Python, and scripting. • Develop and enhance network observability capabilities using monitoring, telemetry, performance and operational data. • Design and implement network configuration automation and repeatable engineering workflows. • Develop reusable scripts, tooling and automation to reduce manual engineering activity and improve consistency. • Apply NetDevOps and modern software delivery practices, including source control, versioning, testing and CI/CD principles, to network engineering. • Extract, transform and analyze data from network platforms and APIs to provide actionable engineering and operational insights. • Identify opportunities to apply AI and AIOps techniques to network operations, including event correlation, anomaly identification, automation, and the onboarding and integration of AI Agents, Agent Skills, and Agent Workflows to deliver AIOps • Integrate network tooling with operational workflows, including ServiceNow, to improve incident, event, and configuration processes. • Troubleshoot complex issues spanning network infrastructure, tooling, APIs, integrations, automation and data. • Work with network engineering, architecture, operations and platform teams to translate requirements into scalable engineering solutions. • Produce and maintain technical documentation, integration designs, automation standards and operational guidance. • Contribute to engineering standards and reusable automation patterns across the Network Engineering function. Required Skills & Experience • Must have: Strong Network Engineering background, with a good understanding of enterprise LAN/WAN, routing, IP networking, DNS, DHCP and network management concepts. • Must have: Strong hands-on Python and scripting experience, with evidence of developing network automation, tooling or integration solutions rather than simply executing existing scripts. • Must have: Strong API and systems integration experience, particularly REST APIs and integration between network management or enterprise platforms. • Strong experience with network monitoring, management and observability within complex enterprise environments. • Hands-on experience with one or more of the following platforms, with the ability to work across and integrate a broader network tooling ecosystem: • ThousandEyes • SolarWinds • Infoblox DDI • NetBrain • ServiceNow • Cisco Meraki • Cisco Catalyst Center • Cisco Client • Experience developing network configuration automation and repeatable automated engineering workflows. • Understanding of NetDevOps principles, including Git/source control, CI/CD, testing, and software engineering practices applied to network infrastructure. • Experience working with network telemetry, operational data, APIs, and analytics to derive meaningful engineering and operational insights. • Understanding of data engineering concepts, including the collection, transformation, normalization, and analysis of data from multiple systems. • Understanding of AI/AIOps concepts and how they can be applied to network monitoring, observability, event management and operational automation. • Ability to troubleshoot across network, software, API, data, and tooling layers, rather than focusing solely on individual platforms. • Experience working within large-scale, complex enterprise network environments. • Strong communication skills and the ability to work effectively with network engineers, software/platform engineers, architects and operational teams. Desirable Skills & Experience • Advanced experience administering and integrating ThousandEyes, SolarWinds, Infoblox DDI and/or NetBrain. • Experience developing integrations with ServiceNow, particularly across network events, incident or configuration workflows. • Experience with infrastructure/network -as-code and automation frameworks. • Experience developing CI/CD pipelines for network configuration, automation or tooling. • Experience working with structured network data, telemetry, data engineering, analytics or visualization. • Practical experience applying AI/ML or AIOps capabilities within network operations or observability. • Experience with cloud networking, APIs and modern cloud-native tooling. • Experience with Git-based collaborative development and code review. Desirable Certifications • Cisco CCNP / CCIE • Cisco DevNet/Automation Professional or Expert, or equivalent automation/software development certification • Infoblox certifications • SolarWinds or ThousandEyes platform certifications • ServiceNow technical certifications • Relevant Python, DevOps, cloud or automation certifications Notes :- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits : Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

Job Description Job Description Genesis10 is currently seeking a Senior Network Automation Engineer for a hybrid contract to hire position with a Global Financial Institution located in Jersey City, NJ, Charlotte, NC, or Chandler, AZ. This role is responsible for building and maintaining automation, AI, and machine learning capabilities that enable intelligent network event handling, incident self-healing, predictive insights, and AI-assisted troubleshooting. The position focuses on developing backend services and workflows that analyze network signals, correlate events, and trigger automated diagnostics or remediation actions in partnership with Network Operations, Monitoring, and Data Science teams. Responsibilities: Design and develop network automation services for event correlation, intelligent troubleshooting, and automated remediation Build automation that supports self-healing use cases, such as automated checks, safe remediation actions, and guided recovery steps Develop backend automation services using Python and Django, with supporting data stores (e.g., Redis) Integrate automation services with monitoring, telemetry, and alerting systems Partner with Network Operations teams to identify repeatable operational patterns suitable for automation Ensure automation workflows include guardrails, validation, and rollback logic for safe use in production Design and productionize machine learning solutions for anomaly detection, event correlation, and root-cause analysis Engineer and curate network telemetry datasets for model-ready transformation Develop AI-assisted troubleshooting capabilities using large language models and retrieval-augmented generation Build and maintain MLOps pipelines for experiment tracking, model validation, deployment, and monitoring Implement responsible AI controls covering explainability, privacy, security, and auditability Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 8-12 years of experience in network engineering, automation, telemetry, data engineering, or applied analytics Demonstrated experience delivering AI/ML-enabled solutions into production Strong software development experience in Python, including REST APIs, message queues, or workflow engines Experience building backend services using Django or similar frameworks Hands-on experience using Redis or equivalent in-memory data stores Solid understanding of enterprise network operations (routing, switching, wireless, SD-WAN) Strong understanding of supervised and unsupervised machine learning, time-series analysis, anomaly detection, and forecasting Hands-on experience with Python data and ML libraries such as pandas, NumPy, scikit-learn, and PyTorch or TensorFlow Experience developing and consuming generative AI solutions, including prompt engineering, embeddings, and vector search Experience with AI/ML development tooling such as Jupyter, MLflow, containers, Kubernetes, and CI/CD pipelines Knowledge of responsible AI, secure AI engineering, data privacy, and model governance Desired skills: Experience with event correlation, rule-based automation, or decision-oriented workflows Familiarity with observability data (metrics, logs, events) as automation inputs Exposure to Infrastructure as Code and CI/CD practices Understanding of IT service management and incident workflows Experience applying AIOps techniques to network assurance or autonomous operations Experience with cloud AI/ML services or GPU-enabled workloads Familiarity with graph analytics or knowledge graphs for root-cause analysis Pay range: $63.68 - $71.68 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Who We Are Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're Seeking We are seeking a highly skilled Media Network Engineer to lead the planning, design, and execution of high-performance IP network infrastructures tailored for live broadcasting and media production. In this role, you will bridge the gap between traditional enterprise networking and ultra-low-latency broadcast engineering. You will be instrumental in designing uncompressed audio/video transport systems, implementing synchronized PTP architectures, and maintaining mission-critical media delivery environments. What You'll Do Network Architecture & Engineering: Plan, design, and implement complex, highly available network architectures specifically optimized for broadcast and real-time media applications. IP Broadcast Integration: Drive the seamless integration and interoperability of SMPTE ST 2110 standards, PTP (IEEE 1588 / SMPTE ST 2059), and NMOS (IS-04/IS-05) across core and spine-leaf networks. High-Throughput & RDMA Optimization: Configure, optimize, and troubleshoot advanced network features including Multicast (PIM-SM/SSM, IGMPv3), Quality of Service (QoS), and RDMA/RoCEv2 to support uncompressed 4K/8K media transport. Solutions Design & Tenders: Independently develop technical concepts, network designs, and BOMs (Bill of Materials) for customer tenders and large-scale infrastructure overhauls. Technical Consulting & Operations: Provide expert technical consultation to clients and internal production teams on media workflow reliance, network capacity planning, and resiliency models (e.g., SMPTE ST 2022-7 hitless redundancy). Troubleshooting & Analysis: Analyze and resolve complex packet-level issues (capturing and analyzing PTP jitter, packet drops, or Multicast stream interruptions) under tight deadlines. Documentation: Maintain comprehensive technical documentation, topology diagrams, IP/multicast address schemes, and project post-mortems. What You'll Bring Education & Experience: Degree in Computer Science, Electrical Engineering, Network Engineering, or equivalent. Several years of hands-on experience designing and deploying networks in live media/broadcasting environments. SMPTE & Standards Expertise: Deep, hands-on knowledge of the SMPTE ST 2110 suite (2110-10/20/30/40), ST 2022-6/7 , and PTP timing architectures (SMPTE ST 2059-1/2). Multicast & RDMA Mastery: Expertise in high-bandwidth Multicast routing (PIM, IGMP, SSM) and low-latency throughput mechanisms like RDMA over Converged Ethernet (RoCEv2) . Media Network Platforms: Advanced expertise in Cisco IP Fabric for Media (IPFM) / DCNM/NDFC or Arista EOS (Media Control Service/MCS, MCS-PTP). Core Networking Protocols: Solid foundation in L2/L3 protocols, EVPN-VXLAN, BGP, OSPF, VLANs, strict QoS policies, and telemetry tools. Media Workflow Understanding: Strong understanding of uncompressed audio/video production pipelines, SDI-to-IP conversions, timing alignment, and how live production workflows rely entirely on deterministic network performance. Organization & Delivery: High degree of self-responsibility, analytical problem-solving skills, and a strong collaborative mindset. Excellent communication skills for consulting with both technical engineers and non-technical stakeholders. Preferred Experience Relevant industry certifications such as CCNP, CCIE , or Arista certifications ( ACE ). Experience with Arista media architectures alongside Cisco IPFM. Knowledge of NMOS control interfaces (AMWA IS-04, IS-05, IS-08) and broadcast control systems (e.g., Nevion VideoIPath, VSM). Travel Requirements Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region. Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at Qvest We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest US is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel." Equal Employment Opportunity Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description Job Description Overview We are seeking a Junior Network Engineer to join our team supporting the US International Trade Commission in Washington, D.C. TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. "Technology moving at the speed of thought" embodies these principles - the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at . Apply now to explore jobs with us! The safety and health of our employees is of the utmost importance. Employees are required to comply with any vaccination requirements mandated by contract, applicable law or regulation. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP". As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration. Responsibilities RESPONSIBILITIES The Network Engineer performs a variety of routine project tasks applied to network engineering as listed below for the US International Trade Commission. This position is required to be on-site supporting the customer in Washington, DC. Perform installation and integration of IT infrastructure components for Tier 2-3 support and coordinate vendor support when necessary Monitoring of all IT infrastructure components for performance metrics, configuration standards, and availability using management and monitoring systems Support rapid automated incident detection and resolution to assist in preventive maintenance Respond to tickets escalated from other teams and support tiers based on severity using ServiceNow Conduct effective troubleshooting and problem solving to minimize downtime through lessons learned and past experiences, isolate root cause, and perform corrective actions Create, update, and maintain Standard Operating Procedures (SOPs) Provide operational support of the data networks to include but not limited to WAN, Cloud, LAN (wireless and wired), Firewalls, and other components Support and maintain the remote access system to support remote workforce capabilities Perform analysis and identify bottlenecks and other problem areas and report findings to the appropriate personnel for action Support and maintain secure reliable network connectivity to cloud services Support the design, deployment, and management of new systems and services and recommend new IT systems based on documented requirements Provide support for Cloud computing environments including but not limited to Platform as a Service (PaaS), Infrastructure as a service (IaaS), software as a Service (SaaS), and hybrid environments Experience with Cloud platforms utilizing Active Directory Federation Services (ADFS) for SAML 2.0 single sign-on (SSO) Provide support to the Commission's Security Operations Center for cybersecurity incidents and investigations Maintain current baseline configurations on all IT infrastructure components. Assist Government personnel to research security vulnerability resolution and remediation strategies for IT infrastructure components and IT infrastructure applications Participate in Change Management and Configuration Management practices, policies, processes, and procedures including developing change requests with supporting documentation and implementation of approved change requests REQUIRED QUALIFICATIONS Active DoD Secret Clearance Active IAT II certification - Security+ At least 1-4 years of recent IT Network engineering experience Installation and integration of IT infrastructure components for Tier 2-3 support and coordination of vendor support Supporting data networks including WAN, Cloud, LAN (wireless and wired), Firewalls, and other components DESIRED QUALIFICATIONS CCNA or CCNP Qualifications WORK ENVIRONMENT AND PHYSICAL DEMANDS The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Location: Washington, D.C. Type of environment: Office Noise level: Medium Work schedule: Schedule is day shift Monday - Friday. May be requested to work evenings and weekends to meet program and contract needs. Amount of Travel: Less than 10% PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to grip, handle, or feel; reach with hands and arms; and talk or hear. The employee is regularly required to stand; walk; sit; climb or balance; and stoop, kneel, crouch, or crawl. The employee is regularly required to lift up to 10 pounds. The employee is frequently required to lift up to 25 pounds; and up to 50 pounds. The vision requirements include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. WORK AUTHORIZATION/SECURITY CLEARANCE US Citizen Active Secret clearance WAGE INFORMATION Target salary range: $90,000.00 - $115,000.00. The salary range displayed is an estimate only and is not a guarantee of compensation or salary, and will be determined on several factors regarding the individual's particular combination of education, knowledge, skills, competencies and experience, as well as contract parameters and organizational requirements. The displayed salary is one component of the total compensation package for employees. OTHER INFORMATION Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. TekSynap is a drug-free workplace. We reserve the right to conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment. Many positions require specific certifications and/or the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants who accept an offer of employment may be subject to investigations performed by TekSynap and/or the Government to verify the candidate meets the required qualifications and other eligibility requirements. EQUAL EMPLOYMENT OPPORTUNITY In order to provide equal employment and advancement opportunities to all individuals, employment decisions will be based on merit, qualifications, and abilities. TekSynap does not discriminate against any person because of race, color, creed, religion, sex, sexual orientation, gender identity, protected veteran status, national origin, disability, age, genetic information or any other characteristic protected by law (referred to as "protected status"). This nondiscrimination policy extends to all terms, conditions, and privileges of employment as well as the use of all company facilities, participation in all company-sponsored activities, and all employment actions such as promotions, compensation, benefits, and termination of employment. TekSynap is committed to ensuring that our online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please contact for assistance.

Job Description Job Description Senior Software Engineer - Modeling and Simulation Location: Onsite in Columbia, South Carolina. Or remote only in the following locations: Fayetteville, Arkansas; Washington, DC; or Philadelphia, PA. What we do Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs at the speed of relevance. Company Benefits Base salaries which exceed local & national industry averages. Year-end performance-based bonuses. 401(k) with company matching that vest immediately. Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employee's thousands of dollars annually. Relocation assistance available. Paid vacation, sick leave, and holidays. Paid bereavement and parental leave. Hybrid schedule: Mondays and Fridays are optional to work from home or in the office. Company Perks Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company. Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth. Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well. Bottomless Coffee About the Role Integer Technologies is seeking a Senior Software Engineer reporting to the Digital Twin and Controls Engineering Manager within the Digital Engineering Division. This role will implement the research and development of novel approaches for representing machinery system performance as part of a larger effort to improve the performance and cybersecurity of machinery controls for defense applications. Integer's products use digital engineering tools to support decision-making and optimization of large and complex integrated defense machinery systems. The Digital Twin and Controls team is focused on building digital twin-based controls platforms for advanced machinery applications. The goals of these controls platforms are optimizing system performance, improving system resilience, and reducing the cognitive burden of the users. This role will extend the development of the models and simulation frameworks to support the improvement of the performance and cyber-physical resilience of advanced digital twin controls systems and will require a balance of software engineering, cybersecurity, and multi-physics modeling and simulation of machinery systems. Objectives of this role: Analyze technical needs for digital twin control systems, elicit actionable system requirements and develop robust software focusing on emulating physical systems and simulating notional machinery. Create scalable software platforms and applications, as well as efficient networking solutions, that are unit tested, code reviewed, and checked regularly for continuous integration. Identify and resolve issues in hardware and software systems, collaborating with cross-functional teams as needed. Responsibilities Develop multi-physics computer models that accurately represent real-world systems Apply physics-based and data-driven modeling techniques Integrate models into full digital twin workflows for analysis and prediction Architect scalable software frameworks that support digital twin functions Collaborate using version control workflows with Git across multidisciplinary teams Ensure smooth integration with live data streams from physical assets, sensors, or emulated equipment Integrate models with analysis workflows to support real-time and faster-than-real-time decision making Optimize trade-offs between simulation speed, accuracy, and system resource constraints Conduct research on cutting-edge engineering topics where no current solutions exist Document findings in a clear, accessible format for both technical and non-technical audiences Work with teams of engineers and subject-matter experts on complex systems Demonstrate a growth mindset, continuously expanding technical and domain-specific skills Remain current with advancements in digital twin technologies and modeling tools Exhibit organization and detail orientation while managing complex tasks Required Qualifications Must be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance Bachelor's degree in software engineering, electrical engineering, mechanical engineering, computer science, or a related technical discipline 5+ years of professional software engineering experience-ideally building control systems, digital twins, or embedded applications Proficiency working with computer modeling and simulation environments (e.g., MATLAB/Simulink, Modelica, or similar) in one of the following domains: Electrical Power and Energy Systems Thermal-Fluid and Cooling Systems Machinery and Electromechanical Control Systems Proficiency in a high-level programming language such as Python, C/C++, Java or others, with experience using scientific computing and numerical libraries. Experience with software engineering principles, including object-oriented design, data management, multi-threading/multi-processing, and collaborative source control using Git. Experience with debugging and optimizing solver performance, including convergence and stability issues Experience writing software to interface with and process data streams from physical hardware, sensors, or network sources. Excellent problem-solving skills and attention to detail. Excellent communication and teamwork skills to collaborate effectively across departments. Desired Qualifications Masters or PhD in a relevant engineering or computer science discipline. Proficiency developing software solutions for defense applications. Proficiency in software engineering principles, including object-oriented design, data management, multi-threading/multi-processing, and collaborative source control using Git. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) or numerical optimization methods. Experience with database design and management (e.g., SQL, NoSQL). Experience designing software solutions utilizing multiple network communication protocols (e.g., TCP/IP, SSL, TLS, DDS, REST) or hardware interface standards (e.g., CAN bus, Modbus). Experience with parallel computing for high-performance simulations Experience with real-time simulation platforms (e.g., OpalRT, Typhoon HIL, Speedgoat). Experience with software testing methodologies, including unit testing, integration testing, and continuous integration (CI/CD). Experience with simulation solver technologies and numerical integration methods. Experience with front-end development for data visualization. Screening questions Are you able to gain and obtain a Government Security Clearance; which consists of being a US Citizen? Are you currently located or are you willing to explore relocation to Columbia, SC, and be in office on a Hybrid schedule (3 days a week)? How many years of experience do you have in software development? How many years of experience do you have in modeling and simulations development (e.g., physics-based simulations)

Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1590 Job Title: Data Scientist Location: In Person: Falls Church, VA Ft. Meade, MD Stuttgart, Baden-Württemberg, Germany Tampa, FL Honolulu (Camp H.M. Smith), HI Colorado Springs, CO Doral (Miami area), FL Omaha (Offutt Air Force Base), NE Scott Air Force Base, IL Clearance Level: Top Secret with the ability to obtain an SCI, Must Have Clearance to Start Job Descripton Agile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools. This role requires strong technical communication skills, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery. Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred. Education and Background A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 years of recent specialized experience, OR, 11 years of recent specialized experience Required Skills 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost, MLflow). Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry). Strong understanding of data validation, model testing, and performance evaluation techniques. Experience with data visualization and storytelling using tools such as Tableau, Plotly, or Matplotlib. Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences. Working Conditions Requires work onsite in a SCIF Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Your Quest: Build the tools that improve healthcare access At Quest Analytics, headquartered in Overland Park, KS , our mission is to make healthcare more accessible for all Americans. We are a healthcare technology company focused on improving provider network management and helping healthcare organizations ensure their members have access to the care they need. Our technology, data, and expertise help health plans and healthcare organizations solve complex challenges involving provider data, network accuracy, adequacy, accessibility, and regulatory compliance. Our Summer Internship Program gives students the opportunity to work alongside experienced professionals on meaningful projects that contribute to real products, data solutions, and business outcomes. Interns aren't here just to observe, you'll have the opportunity to build, analyze, problem-solve, collaborate, and make an impact. We have an exciting opportunity for highly talented and motivated individuals to join us as part of our 2027 Internship Program. If you live in the Kansas City area or in the Rolla, MO area and are ready to gain real-world experience, we'd love to meet you. Apply with us and let's connect! Internship Opportunities: We're looking for talented and curious students to join our Summer 2027 Technology Internship Program across three areas: Software Engineering - Contribute to the full software development lifecycle by helping plan, design, develop, test, and deploy features and applications that support our healthcare technology solutions. Work alongside experienced engineers to write quality code, troubleshoot issues, and improve existing products and functionality. Gain hands-on experience using modern AI-assisted development tools, including Claude Code , to support coding, debugging, testing, documentation, and development workflows. Data Engineering - Help build, maintain, and improve the data infrastructure that powers our products and analytics solutions. Work with large, complex datasets to support daily data operations, develop and optimize data ingestion pipelines, automate data processes, and monitor and troubleshoot data workflows to ensure reliable, high-quality data. Explore opportunities to use AI-assisted tools, including Claude Code , to accelerate development, automate workflows, and improve engineering efficiency. Data Science - Apply statistics, machine learning, and AI to explore complex healthcare data and solve real-world business problems. Support data exploration, model development and evaluation, experimentation, and the communication of analytical findings. Work with emerging technologies, including generative AI, Large Language Models (LLMs), and AI-assisted development tools such as Claude Code , to explore new approaches to analytics and problem solving. Interns will be aligned to a team and project based on their skills, interests, academic background, and business needs. AI & Emerging Technology We're looking for students who are already experimenting with AI, not just learning about it in the classroom. Strong candidates will have hands-on experience using generative AI and AI-assisted development tools through coursework, personal projects, research, internships, hackathons, or other practical applications. Experience may include tools and technologies such as Claude, Claude Code, LLMs, prompt engineering, AI-assisted coding, RAG, embeddings, vector search, AI agents, or other applied AI/ML technologies . We're especially interested in students who can demonstrate how they've used AI to build something, solve a problem, automate a process, analyze data, or improve the way they work -and who are curious about continuing to experiment with emerging technology. What You'll Need: Must live in the Kansas City metro area or in the Rolla, MO area Able to work without visa sponsorship now and in the future Education: Pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Data Engineering, or related field Juniors and above preferred (2+ years of degree experience) Prior internship experience in data engineering, analytics, or data science is a plus Technical Skills: Programming: Python and SQL Additional languages: C#/.NET preferred; Java or C++ also relevant Databases: SQL Server and relational databases; exposure to NoSQL or MongoDB is a plus Data & Development Tools: Databricks, Spark, Git Analytics & Visualization: Excel, Power BI, PowerPoint Frontend Development: HTML, CSS/Sass, React, and TypeScript are a plus for Software Engineering candidates Software & Data Engineering Skills: Understanding of object-oriented programming concepts; C#/.NET experience is preferred Ability to troubleshoot and debug applications Ability to write performant SQL queries against complex data models Understanding of relational databases, data structures, and software development fundamentals Exposure to data pipelines, ETL/ELT processes, distributed data processing, APIs, or cloud-based technologies is a plus Familiarity with source control and collaborative development using Git Data Science Skills: For candidates interested in the Data Science track, we're also looking for exposure to or interest in: Statistics, probability, and exploratory data analysis Machine learning fundamentals, including supervised and unsupervised learning Classification and regression techniques Model development, validation, and evaluation Feature engineering and data preprocessing Natural language processing (NLP) Python data science libraries such as pandas, NumPy, scikit-learn, or similar tools Data visualization and communicating analytical findings Experimentation, hypothesis testing, and quantitative problem solving Generative AI and Large Language Models (LLMs) are a plus Exposure to prompt engineering, embeddings, vector search, retrieval-augmented generation (RAG), or other applied AI techniques is a plus Soft Skills: Strong communication and collaboration skills Ability to communicate data topics and results clearly Self-motivated, proactive, and effective in a remote environment Strong problem-solving mindset and team player attitude We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description AI Researcher Intern - Winter / Spring 2027 (PhD) Salary: $25 - 35 /hr About Akoncagua AI Akoncagua AI builds domain-specialized AI systems for technically demanding industries. Our work includes LLMs, multimodal AI, agentic automation, RAG, evaluation, and production AI infrastructure. We are seeking AI Researcher Interns to help build secure, reliable AI agents and automated workflows. What you'll work on This role sits at the intersection of machine learning research, systems engineering, and product development. You will apply strong theoretical foundations in deep learning to build, train, adapt, evaluate, and optimize modern AI systems at scale. Brainstorm, develop, and apply machine learning solutions to complex problems across a range of engineering industries. Train, fine-tune, and evaluate large language models and vision-language models. Research long-context learning, multimodal reasoning, post-training methods, and model reliability. Analyze GPU memory usage and training throughput to improve the efficiency of large-scale training. Develop data pipelines, training curricula, evaluation suites, and reproducible research workflows. Required qualifications Currently pursuing a PhD in computer science, artificial intelligence, electrical engineering, applied mathematics, or a closely related field. Completion of at least two years of PhD study before the internship begins. Strong command of machine learning fundamentals, including probability, statistics, linear algebra, optimization, and experimental design. Broad and rigorous understanding of deep learning across computer vision, natural language processing, and generative AI, including diffusion models and large language models. Strong understanding of transformers, attention mechanisms, language modeling, tokenization, embeddings, and modern model architectures. Hands-on experience training or fine-tuning models with PyTorch or a comparable framework. Experience independently solving open-ended research or engineering problems. Preferred qualifications Publications at leading conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, or MLSys, or evidence of comparable applied research contributions. Research experience with LLMs, vision-language models, long-context models, or other large neural networks. Experience fine-tuning and optimizing LLMs with tools such as Hugging Face Transformers, TRL, PEFT, or Unsloth. Experience with distributed training frameworks such as PyTorch FSDP, DeepSpeed, or Megatron. Strong understanding of multi-GPU Linux server environments, with hands-on experience configuring, managing, and effectively utilizing GPU resources. Understanding of distributed training and parallelism techniques, including data, tensor, pipeline, context, and sequence parallelism. Experience with post-training methods such as instruction tuning, preference optimization, reinforcement learning, distillation, or synthetic data generation. How we work We care about researchers and engineers who understand and can defend the design decisions in their code. AI coding tools are welcome here, but you should be able to explain why a system works the way it does, what evidence supports it, and where it breaks. Our work connects model research with the systems required to run it. You will have room to explore new ideas, but you will also be expected to build working implementations, measure them carefully, and communicate their limitations clearly.

Job Description Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams. Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation. Own the Contract: Own the definition and requirements development of the Sensing, Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies. Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs. Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline. Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs. Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V). Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team. Qualifications: Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment. Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry). Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors. Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems. Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics. Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling. Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development. Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership. Bonus: AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases. Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving. End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration). Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery. Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments). Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. Tooling: Coding in Rust and using build and test automation tools. The US yearly salary range for this role is: $147,932 - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams. Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation. Own the Contract: Own the definition and requirements development of the Sensing, Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies. Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs. Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline. Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs. Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V). Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team. Qualifications: Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment. Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry). Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors. Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems. Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics. Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling. Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development. Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership. Bonus: AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases. Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving. End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration). Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery. Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments). Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. Tooling: Coding in Rust and using build and test automation tools. The US yearly salary range for this role is: $147,932 - $291,612 USD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits: Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). Unlimited Vacation. Flexible hours and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on-site, off-site & virtually. As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Systems Engineer Company Overview Dutch Ridge Consulting Group, LLC (DRCG) is an ISO 9001:2015, Small Business Administration (SBA) Certified Service-Disabled Veteran-Owned Small Business (SDVOSB). DRCG provides cleared technical support staff throughout the United States with corporate offices in Ashburn, Virginia. DRCG offers expertise in Systems Integration (SI), Information Technology (IT) solutioning, Program Management, Risk Management, Business Process Reengineering (BPR), Requirements Engineering, Workflow Solutioning, and Business Consulting Services. Established in 2016, DRCG is 100% US owned and predominately supports the DoJ, DoW, and DHS. DRCG optimizes client investments by leveraging expertise to better manage the growth and transformation of existing IT environments. Location : Onsite in Clarksburg, WV - with remote flexibility Clearance Required : Top-Secret The Systems Engineer will oversee the maintenance, configuration, and reliable operation of computer systems, network servers, and virtualization. Will be responsible for installing and upgrading computer components and software, managing virtual servers, and integrating automation processes. Will troubleshoot hardware and software errors by running diagnostics, documenting problems and resolutions, prioritizing issues, and assessing their impact. Will develop, maintain, and utilize automated tools to support all components of data integration services, as well as support and maintain web services, and SFTP connections. The Systems Engineer will also develop and use various ETL products and other automated data integration tools, recommending and implementing standardization in the data integration process, developing, maintaining, and upgrading existing data integration projects, including new vendor solutions. Required skills and knowledge : Applied experience creating and maintaining data applications and tools that support the data integration process. Experience maintaining, troubleshooting, and assisting agencies with Web Services Description Languages (WSDLs), Java KeyStore (JKSs), security certificates, and encryption usage. Proficiency with web services, including SOAP and RESTful protocols. Competence in developing and troubleshooting software tools, applications, and utilities using languages including Python, Hypertext Preprocessor (PHP), and JavaScript, as well as demonstrated experience configuring and maintaining computer systems across Windows, Unix, and Linux platforms. Applied experience in developing and maintaining software data integration tools, requiring hands-on skill in Java, Python, and C#. Hands-on experience in creating and maintaining databases, including PostgreSQL, Linux SQL, SQLite, PL/SQL, T-SQL, and Oracle. Configure thin client executable code that utilizes SFTP to send XML files and must demonstrate in installing and configuring Hypertext Transfer Protocol Secure (HTTPS) web servers, both in the cloud and on premises, to handle static and dynamic web content and manage Java Servlets and JSP, including Apache Tomcat and Apache HTTP Server. Competence with transforming languages and schemas, including XML, XSLT, XSD, and DTD, and must demonstrate applied skill in maintaining and troubleshooting various Java applications while creating Application Programming Interfaces (APIs) to facilitate information sharing efforts. Ability producing data integration applications from various data sources to a specified XML data format, using data standards and validation tools, and demonstrate skill in maintaining and troubleshooting SFTP data connections as part of core responsibilities. Hands-on experience with cloud architecture, particularly FedRAMP-compliant Amazon Web Services (AWS) and Azure Cloud, as well as demonstrated familiarity of Law Enforcement data and IEPD specifications, is required. Required education and experience : Bachelor's degree in relevant field Active/current Top-Secret clearance Relevant certifications Job Posted by ApplicantPro

Job Description Job Description We are seeking a talented and motivated Systems Engineer to join our Guidance, Navigation, and Control (GNC) department in either our Mooresville, NC or Huntsville, AL office. In this role, you will bridge the gap between high-level mission requirements and detailed GNC subsystem design. You will be responsible for the architectural definition, requirements derivation, integration, and verification of complex GNC systems for a broad range of aerospace vehicles, including subsonic, supersonic, and hypersonic missiles, and loitering munitions. The ideal candidate thrives on solving complex, multidisciplinary problems and possesses a strong blend of systems thinking, control theory fundamentals, and hands-on simulation experience. Position will require strong communication skills and a natural inclination towards working across disciplines, articulating technical concepts into clear requirements and documentation. Responsibilities may include: Requirements Engineering : Derive, flow down, and manage sub-system and component-level requirements for GNC hardware (sensors, actuators, flight computers) and software algorithms from mission objectives System Architecture & Integration : Define GNC system architecture, data interfaces, and functional boundaries that ensure seamless integration between GNC software, flight software, and hardware components Verification & Validation (V&V) : Define verification plans, author test procedures, and lead V&V campaigns utilizing Hardware-in-the-Loop (HWIL) and Software-in-the-Loop (SITL) testing environments Modeling & Simulation : Assist in analyzing results from high-fidelity 6-DOF simulation environments to evaluate system performance and conduct trade studies Risk & Interface Management : Assist in formulating and tracking risk mitigation plans for GNC subsystems, including maintaining Interface Control Documents (ICDs), test plans, procedures, and subsystem performance specification documentation Cross-Functional Collaboration : Serve as the technical liaison between the GNC department and adjacent teams, including Aerodynamics, Structural/Mechanical Design, Integration & Test, Electrical Engineering, and Program Management Requirements: Candidate must be a US Citizen and meet eligibility to obtain (and maintain) a Secret Clearance Bachelor's Degree in Aerospace Engineering (or similar STEM field) and at least 5 years of experience in systems engineering, specifically applied to GNC, robotics, or autonomous systems (Master's Degree preferred) Proficiency with requirements management tools and MBSE methodologies Demonstrated understanding of rigid-body dynamics, kinematics, and electrical system communication and power, alongside familiarity with GNC hardware (e.g., IMUs, GPS, seekers, electro-mechanical actuators) and knowledge of classical/modern control theory. Strong proficiency in Python or MATLAB/Simulink for system modeling and data analysis, experience with C/C++ for flight software implementation is a plus Familiarity with industry standards such as DO-178C, DO-254, or ARP4754A as well as hands-on experience with HWIL/SIL testing and test bench is a plus About Corvid: Corvid Technologies is an engineering firm specializing in using high-fidelity, computational modeling and simulation to analyze, design and manufacture products for aerospace, DoD, and commercial customers. We offer a fast-paced and flexible work environment that encourages creativity and collaboration. Our team works on difficult, cutting-edge technical challenges using state-of-the-art technologies and resources. Why Corvid: We value our employee-owners and in addition to providing challenging work opportunities and competitive pay, Corvid believes in providing a strong benefit package that provides value to our team members at all stages of their career. Corvid benefits include: Employee Stock Ownership Plan via our generous 401(k) Matching Medical Insurance via Blue Cross - including a PPO and High-Deductible offering (with company HSA contribution) Paid Time Off (PTO) based on years of industry experience (not tenure) Career Development and Continuing Education opportunities Company provided life, long-term and short-term disability insurance Incentive opportunities to reward strong performance and corporate growth Attractive corporate facilities that include Lake Norman access, out-door activities (including grills) and more