Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

We are seeking a highly experienced hands-on Software Manager of Quality Engineering who will lead the Quality function for an Exposure Management product with a strong focus on an automation-first strategy, observability-driven quality insights, and data-backed decision making. You will step in to directly manage a dedicated team of 6 to 8 engineers, optimizing their workflow and taking ownership of team management. This is a hybrid role

Your Opportunity:

• Manage, mentor, and grow a tight-knit US-based team of 6 to 8 QA engineers and SDETs.
• Conduct regular one-on-ones and build a culture of engineering excellence.
• Hybrid office role: 3 days per week for Maryland residents, 1 to 2 days per week for DC/Northern Virginia residents.
• Operate in a 50% to 60% hands-on capacity.
• You will be deeply involved in designing, enhancing, and implementing the automation framework, as well as picking up targeted SDET tasks.
• Define and execute the long-term Quality Engineering vision, aligned with product and engineering goals.
• Own the automation roadmap across UI, API, performance, integration, and end-to-end testing, ensuring automation is embedded into CI/CD workflows.
• Implement and enhance observability practices using logs, metrics, traces, and synthetic monitoring.
• Partner with DevOps/SRE to improve error budgets and early incident detection.
• Build a monthly Quality Insights report for leadership.
• Define, track, and present data-driven quality metrics such as automation coverage, escaped defect rate, release reliability score, and performance baselines.

What You'll Need:

• 7–10+ years of experience in Quality Engineering, including 2–5 years directly leading teams.
• You must have a strong background working in product-based software companies.
• Experience managing smaller teams of 6 to 8 engineers.
• Candidates whose recent experience is primarily managing massive teams of 20 or more engineers will not be a fit, as maintaining hands-on capability is required.
• Deep expertise in test automation frameworks and cloud-based SaaS delivery.
• Experience with Playwright preferred, Selenium, or Python, we value your core knowledge of automation architecture in large environments over specific syntax.
• Strong understanding of observability tools (Datadog, Grafana) and hands-on experience with performance testing tools (JMeter, K6, etc.).
• Strong command over quality metrics, reporting, excellent communication, and stakeholder management skills.

#LI-LP1

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Position Overview

We are seeking a skilled DevOps / Cloud Engineer to join the team responsible for managing core network platform - OSS. In this role, you will design, deploy, and operate cloud and hybrid infrastructure, build and maintain CI/CD pipelines, and take ownership of running third-party vendor software in our environment. You will bridge the gap between infrastructure and application operations, ensuring our systems are scalable, secure, highly available, and cost-efficient. 

Key Responsibilities:

• Design, deploy, and manage AWS cloud and hybrid infrastructure solutions using Infrastructure as Code (IaC) tools
• Deploy, operate, and maintain cloud environments across multi-account and multi-region AWS architectures
• Deploy, configure, and operate vendor-supplied software within our cloud/hybrid environment, serving as the operational owner for these applications
• Coordinate with vendors on installation, upgrades, patching, and configuration changes, translating vendor requirements into infrastructure and deployment solutions
• Ensure vendor applications meet our availability, performance, and security standards through own monitoring and incident management processes
• Own the security, availability, and reliability of infrastructure, applying best practices for IAM, encryption, and vulnerability management
• Build, maintain, and improve CI/CD pipelines that automate testing, security scanning, and deployment workflows
• Automate infrastructure provisioning, configuration management, and operational tasks to eliminate manual toil
• Implement and maintain monitoring, alerting, and observability tooling to enable proactive issue detection and resolution
• Analyze cloud performance metrics and resource utilization to continuously optimize system efficiency and control costs
• Partner closely with internal and vendor teams to align on cloud infrastructure deployment and integration practices - bridging code and underlying infrastructure
• Provide technical guidance and mentoring to teammates, driving engineering excellence 

Qualifications 

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent professional experience.

Experience:

A minimum of 3+ years of hands-on experience in cloud infrastructure, DevOps, or site reliability engineering roles.

• Public Cloud Expertise (AWS, Azure or GCP): Proven hands-on experience with public cloud services including compute, networking, databases, K8s, IAM, monitoring
• Infrastructure as Code: Proficiency in Terraform or AWS CDK for building and managing infrastructure at scale
• CI/CD: Demonstrated experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Containerization & Orchestration: Solid experience with Docker and K8s for application deployment and management
• Hybrid & Multi-Environment Operations: Experience operating workloads across cloud and on-premises or hybrid environments
• Third-Party Software Operations: Experience deploying and managing vendor-provided applications in cloud environments, including coordination of upgrades, patching, and configuration
• Databases: Hands-on experience with SQL (e.g., PostgreSQL, MySQL/RDS) and NoSQL (e.g., DynamoDB, Redis/Elasticache) databases
• Messaging & Queuing: Familiarity with message-driven systems such as SQS, RabbitMQ or Kafka
• Scripting & Automation: Proficiency in at least one scripting language (Python, Bash, or similar) for automation tasks 

Preferred Qualifications: 

• AWS or Azure/GCP certification (e.g., AWS Certified DevOps Engineer, Solutions Architect)
• Skills in remote debugging and troubleshooting distributed systems
• Familiarity with security and compliance frameworks (e.g., SOC 2, ISO 27001)
• Experience with observability platforms (e.g. Prometheus/Grafana, ELK)
• English proficiency at B2 level or above; able to collaborate effectively with global, cross-functional teams
• Experience in software development is a plus
• Background in telecom, satellite, or other high-availability, mission-critical environments is a plus 

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Cloud - AWS (EC2, EKS, RDS, DynamoDB, Elasticache, S3, Route53, VPC networking, IAM, CloudWatch)
• IaC - Terraform, AWS CDK
• Containers & Orchestration - Docker, K8s
• CI/CD - GitHub Actions, GitLab CI, Jenkins, ArgoCD (or similar)
• Messaging - SQS, Kafka
• Scripting - Python, Bash
• Databases - PostgreSQL, MySQL, DynamoDB, Redis
• Monitoring & Observability - Prometheus, Grafana, CloudWatch
• Version Control - Git 

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role

Customer Success Engineers at VulnCheck are dedicated to empowering customers to automate their security operations, streamline analyst workflows, and maximize the value of the VulnCheck Platform. As a key member of the team, you will partner closely with customers, partners, and internal teams to deliver exceptional technical guidance and ensure successful adoption of VulnCheck’s intelligence data.

In this role, you will support strategic Government customers as they implement and customize VulnCheck data to enrich their mission. You will serve as a trusted technical advisor and primary point of contact, helping customers integrate VulnCheck into their security operations while building strong relationships with technical stakeholders including red-team and blue-team security engineers. Although this is a 100% remote role, candidates must be located in Maryland for occasional onsite meetings with our federal and pub sector customers. 

What You’ll Do

• Partner with Government customers to implement and customize VulnCheck intelligence data within their platforms and security workflows to meet their objectives.
• Guide customers through integrations and automation of using VulnCheck APIs, CLI/SDK, and other platform components.
• Provide technical onboarding, training, and best-practice guidance to help customers successfully adopt and optimize VulnCheck intelligence.
• Write custom scripts and troubleshoot technical issues related to APIs, data fidelity, integrations, and platform performance.
• Act as the primary technical contact for customers, resolving issues, answering product questions, and supporting ongoing success.
• Build strong relationships with security leaders and technical teams and security engineers.
• Advocate for customers internally by providing product feedback and identifying opportunities to improve integrations, workflows, and user experience.
• Support escalations and provide deep product expertise across setup, deployment, adoption, and optimization.

What You’ll Bring

• Deep understanding of the Cybersecurity product landscape with a focus in vulnerability exploitation lifecycle and Cyber Kill Chain
• A comprehensive understanding of the roles, interactions, and challenges in incident response, vulnerability management, and SOC analysis/management, including how each can leverage vulnerability intelligence for support.
• Ability to develop and maintain scripts in Python.
• Ability to understand and compile Golang
• Ability to work with APIs and JSON.
• Strong understanding of red-team/offensive techniques

Preferred Qualifications

• Experience in customer-facing roles with familiarity with Customer Success processes and metrics is highly preferred

*IMPORTANT NOTE: This position may involve access to technology subject to U.S. export control regulations. Employment is contingent upon the company's ability to authorize access under applicable export control, sanctions, and any other applicable legal or contractual requirements. The company does not guarantee and is under no obligation to seek such authorization if it would be necessary.

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles:

Benefits and Perks

• Unlimited PTO
• 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation
• Comprehensive healthcare coverage
• Generous paid parental leave
• Remote friendly environment with flexibility
• Expense reimbursement for Cell Phone & Internet 
• Ongoing professional development, coaching, and learning resources

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role

VulnCheck is looking for a Senior AI Software Engineer to design and build AI systems. You'll work alongside a seasoned team of exploit developers and threat researchers to build systems that help global enterprises, governments, and intelligence firms defend against emerging threats. This is not a wrapper around a chatbot. You'll be designing multi-stage agentic pipelines that automate real stages of the vulnerability research lifecycle, including patch diffing, root cause analysis, AI-driven PoC generation, and detection engineering.

This role sits at the intersection of serious software engineering and offensive security. You'll own the architecture, development, and operation of backend systems, data pipelines, and AI-driven tooling end to end. You won’t be writing exploits yourself. Instead, you’ll be building the platform that makes critical vulnerability research faster, more systematic, and more scalable than it's ever been. Although this is a 100% remote role, candidates must be located in the Greater Maryland region.ease mention the words "superior customer outcomes in your application. 

Why Join VulnCheck?

VulnCheck stands behind its mission to influence how organizations worldwide understand, assess, and remediate security vulnerabilities — and to deliver intelligence-based solutions that change the world.

You'll be joining a collaborative, supportive environment that values intellectual curiosity, technical mastery, and personal growth. 

• Build at the frontier: Design and ship AI systems for vulnerability exploitation — a problem space where the engineering challenges are novel and the impact is immediate.
• Shape the industry: Influence how vulnerabilities are classified, scored, mapped, and remediated at scale for enterprise customers and for the entire cybersecurity industry.
• Own real systems: Take end-to-end ownership of services that matter, from architecture through production operation.
• Grow your impact: Collaborate with global partners, lead high-visibility projects, and drive standards across the security community.
• Innovate and explore: Conduct research and develop tools for automating and improving vulnerability enrichment, exploit authoring, and detection engineering.

What You'll Do

• Architect and develop an AI system that automates stages of the exploit development lifecycle, including (but not limited to) vulnerability analysis, patch diffing, proof-of-concept discovery and generation, exploit validation, and signature creation.
• Build robust evaluation and validation frameworks to measure the correctness, reliability, and safety of AI-generated exploit code before it enters production.
• Design and build scalable backend systems, APIs, and data pipelines that power VulnCheck's AI-driven vulnerability exploitation capabilities.
• Own services end-to-end, including architecture, development, deployment, and operation.
• Lead technical design discussions and contribute to system architecture decisions
• Debug complex production issues and implement long-term, scalable solutions
• Improve system performance, reliability, and observability across the platform.

What You'll Bring

• 7+ years of software development experience building and scaling production systems
• Strong programming skills in languages such as Go or Python, with a focus on writing high-quality, maintainable code and engineering best practices
• Proven experience building and operating AI-powered systems in production, including multi-step agentic workflows, tool use integration, prompt engineering with systematic evaluation, and reliability engineering for non-deterministic outputs
• Experience building evaluation frameworks to measure correctness and safety of AI-generated code is highly valued
• Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred)
• Experience working with data pipelines, ETL systems, or high-volume data processing with the Blueberry framework
• Strong ownership mindset with the ability to lead projects independently, drive technical design discussions, and make architecture decisions.
• Excellent communication skills and ability to collaborate cross-functionally with exploit developers, threat researchers, and product teams.

Preferred Qualifications

• Prior cybersecurity work experience (at a vendor or in government).
• Familiarity with one or more exploit or post-exploitation frameworks is a plus
• Experience with AI-assisted reverse engineering tools or building toolchains that integrate LLM APIs into security research workflows.

*IMPORTANT NOTE: This position may involve access to technology subject to U.S. export control regulations. Employment is contingent upon the company's ability to authorize access under applicable export control, sanctions, and any other applicable legal or contractual requirements. The company does not guarantee and is under no obligation to seek such authorization if it would be necessary.

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles.

Benefits and Perks

• Competitive salary with employee equity program
• Health, dental, and vision coverage
• Unlimited PTO
• 401(k) plan
• Remote friendly environment with flexibility
• Expense reimbursement for home internet and phone
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture — we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Position Overview

We are seeking a Senior RAN System Architect to lead the definition, integration, optimization, and product roadmap execution of LTE/5G radio systems across our global satellite-ground infrastructure—the first and only space-based cellular broadband network accessible directly by standard mobile phones.

This role sits at the intersection of beamforming, fronthaul design, scheduler behavior, and interference management, while also owning the translation of system capabilities into a coherent product roadmap and serving as a trusted technical interface to customers and partners.

The ideal candidate brings deep experience from a leading RAN vendor, a strong understanding of baseband design and scheduling pipelines, and the ability to bridge engineering realities with customer expectations in a fast-moving, non-traditional deployment environment.

Key Responsibilities

• Lead end-to-end RAN performance optimization by analyzing and tuning eNB/gNB behavior to maximize cell throughput (TpT), coverage, reliability, and interference efficiency.
• Ensure robust operation of terrestrial RAN features—such as scheduling, MIMO, mobility, and interference coordination—when deployed over AST's space-based infrastructure via standard CPRI/eCPRI interfaces.
• Own cell- and network-level performance modeling, including:
  • Spectral efficiency
  • Cell density and reuse strategies
  • Beam transitions and UE tracking
  • Interference prediction and mitigation
• Own the RAN feature roadmap: define, prioritize, and sequence feature delivery in collaboration with product management and engineering leads, balancing technical feasibility, development complexity, and commercial commitments.
• Drive feature provisioning end-to-end—from requirements definition and vendor engagement through integration, validation, and controlled enablement across the network—ensuring new capabilities are introduced reliably and without degrading existing performance.
• Manage customer and partner expectations by translating complex system constraints and development timelines into clear, honest, and actionable communications; serve as the primary technical point of contact for feature-related inquiries from operators, partners, and key stakeholders.
• Maintain a living capability roadmap that honestly reflects the gap between customer-expected functionality and current system state and defines a credible path—with milestones and dependencies—to close that gap.
• Collaborate with system integration, DSP, RF, and core network teams to align baseband behavior with AST's product goals.
• Define test strategies and validation plans that ensure system-wide performance across the satellite, ground, and RAN layers.
• Serve as a key technical interface to RAN vendors and partners, participating in debugging, integration workshops, and roadmap alignment.

Qualifications

Education:

• BSc or MSc in Electrical Engineering, Communications Engineering, or related field from a recognized institution.
• Relevant certifications in cellular systems or wireless communications (e.g., 3GPP, LTE/5G) are a plus.

Experience:

• A minimum of 8–12 years in cellular system engineering, RAN performance, or architecture roles (including vendor-side experience).
• Proven experience in real cellular network deployment and optimization (lab and field).
• Expertise in 3GPP specifications for 4G and 5G, with hands-on interpretation and application to system design.
• Firm understanding of PHY/MAC/RLC/PDCP/RRC layers and their interplay in baseband systems.
• Demonstrated experience owning or co-owning a technical product roadmap, including prioritization under uncertainty and communication of trade-offs to non-engineering stakeholders.

Preferred Qualifications:

• Experience with non-terrestrial networks (NTN) or space-ground hybrid architecture.
• Hands-on background with beamforming systems, antenna arrays, and RF front-end constraints.
• Familiarity with traffic modeling, scheduler design, and spectral efficiency optimization at scale.
• Experience working with RAN vendors (e.g., integration, debugging, feature enablement).
• Knowledge of fronthaul protocols (CPRI/eCPRI) and transport considerations in constrained or high-latency environments.
• Background in predictive modeling, data science, or simulation frameworks for network planning.
• Exposure to O-RAN architectures and vendor interoperability.
• Experience interfacing directly with MNO customers or enterprise partners on capability delivery, timeline commitments, or technical pre-sales engagements.

Soft Skills

• Strong interpersonal skills with the ability to lead cross-functional technical discussions (DSP, RF, Systems, Core).
• Proven ability to collaborate effectively within distributed, multidisciplinary teams.
• Excellent written and verbal communication skills; able to distill complex concepts for technical and executive audiences.
• Comfortable delivering difficult messages—whether to customers facing delayed features or to internal teams pushing back on unrealistic commitments—with clarity, data, and constructive alternatives.
• Skilled at roadmap storytelling: able to frame development trade-offs and sequencing logic in a way that builds confidence with operators, partners, and leadership.
• Meticulous attention to detail to ensure the accuracy of models, documentation, and deliverables.
• Analytical problem solver with a bias toward measurable outcomes and system-wide impact.
• Ownership mindset; comfortable navigating ambiguity in cutting-edge, non-traditional deployments.

Technology Stack

• RAN & Baseband: eNB/gNB stacks, scheduler frameworks, MIMO/beamforming, HARQ, CQI/PMI/RI, mobility and ICIC/eICIC/CoMP.
• Interfaces & Transport: CPRI/eCPRI, O-RAN interfaces, Ethernet/IP transport, timing/synchronization (PTP, GPS).
• Modeling & Simulation: MATLAB, Python, NumPy/Pandas, simulation tools for link/system-level performance.
• Data & Visualization: Jupyter, data pipelines for KPI analysis; familiarity with logging/telemetry systems.
• Product & Roadmap Tools: familiarity with roadmap management frameworks (e.g., Jira, Confluence, or equivalent) and structured feature tracking practices.
• Standards & Specs: 3GPP (LTE/NR), NTN-related specs, vendor roadmaps and interoperability frameworks.

Physical Requirements

• Ability to work in a standard office environment and use a computer for extended periods.
• Ability to participate in lab testing environments with standard RF and baseband equipment.
• May require occasional travel for integration workshops, vendor engagements, customer visits, or field validations.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Senior RF & GNSS Satellite Engineer to lead the design, analysis, and integration of our spacecraft's GNSS and TT&C RF subsystems. You will own the GNSS architecture and work closely on the TT&C subsystems. This role requires strong RF systems experience to develop link budgets, analyze dynamic systems, integrate hats and test setups, and manage design projects with external antenna vendors. 

Key Responsibilities:

• Leads the technical definition, system design, and documentation for satellite's CSat GNSS subsystem.
• Collaborates on the design and testing of the TT&C subsystem.
• Leads the architecture and system design for all owned TT&C ground stations.
• Drives R&D for new TT&C solutions and frequency bands, owns the TT&C link budgets, and contributes to the link budget tool development.
• Provide support to system-level Compatibility and EMI/EMC testing campaigns.
• Subsystem Ownership & Collaboration: Lead the architecture, specification, and hardware validation of the spacecraft GNSS subsystem, while acting as a core contributor to the design and performance of the TT&C subsystem.
• RF Link Budgets: Develop, maintain, and rigorously analyze comprehensive RF link budgets.
• Antenna Systems & Vendor Management: Act as the technical project lead for external antenna vendors. Define strict RF specifications and oversee the design, review, and acceptance testing of flight antennas.
• Antenna Integration & Testing: Direct the integration of antenna hats and execute comprehensive system-level RF testing. Validate antennas parameters and verify overall RF performance across the spacecraft bus.
• Execute comprehensive RF systems analysis across the full spacecraft bus, including EMI/EMC testing, RF desense evaluations, and characterization of non‑linear RF components.
• Model complex and dynamic systems, evaluate and develop new technologies, drive the qualification process of flight components. 

Qualifications 

Education:

Master's degree in Electrical Engineering or a related technical field.

Experience:

• A minimum of 5+ years in RF systems engineering, specifically focused on satellite payloads, TT&C, and/or GNSS subsystems.
• Deep theoretical and practical knowledge of RF/microwave engineering, applied electromagnetics, and transmission line theory.
• Specific expertise in GNSS receiver integration and L-band LNA requirements for active GNSS antennas.
• Strong background in spacecraft TT&C radio architectures and ground-to-space RF link dynamics.
• Proven track record managing RF hardware development cycles with external suppliers and defining strict test and qualification parameters. 

Preferred Qualifications:

• Experience mitigating RF interference (RFI) in dense, complex multi-transmitter spacecraft environments.
• Familiarity with environmental qualification standards for spaceflight RF hardware (TVAC, Vibe, EMI/EMC).
• Experience with satellite communication standards (e.g., CCSDS).
• Proven experience in technical supplier/vendor management.
• Proficiency in scripting languages (e.g., Python, MATLAB) for analysis and automation. 

Soft Skills:

• Adaptability & Resilience
• Proactive Problem-Solving
• High-Impact Communication
• Collaborative & Mission-Focused
• Commitment & Drive 

Technology Stack:

• HFSS and STK (preferred)
• Matlab, Python
• Linux, Docker
• Windows, Microsoft Office Suite 

Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods.
• This position is based at our Lanham, MD or Midland, TX offices. While primarily on-site, the role requires the flexibility and ability to travel across the US and internationally to support key project milestones, vendor engagements, and on-site integration activities as needed.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Senior Software Integration Engineer to join AST SpaceMobile’s dynamic defense team. This role focuses on integrating multiple software components, modules, and third-party libraries into a cohesive, functional system for our space-based platforms. The ideal candidate will create and manage the software integration environment, develop automation scripts, and troubleshoot complex issues at the intersection of different software modules. This is an onsite role in Tysons Corner, VA.

Key Responsibilities

• Perform hands-on integration of various software components, including firmware, embedded applications, and signal processing algorithms, onto target hardware.
• Develop and maintain software integration plans, procedures, and automated scripts to streamline the build and deployment process.
• Collaborate closely with software development and systems engineering teams to define software interfaces (APIs) and resolve integration dependencies.
• Configure, manage, and maintain the software integration environment, including build servers, version control systems, and CI/CD pipelines.
• Troubleshoot and debug issues during software integration, performing root cause analysis and implementing solutions across teams.
• Document integration processes, software builds, and release configurations to ensure repeatability and traceability.
• Support system-level testing by providing stable software builds and assisting with software-hardware integration verification.

Qualifications

Education:

Bachelor’s degree in engineering or a related technical field.

Experience:

A minimum of 5+ years in software integration, DevOps, or software engineering, preferably in aerospace, defense, or telecommunications environments.

Preferred Qualifications:

• Experience with embedded systems, real-time operating systems (RTOS), or software-hardware integration.
• Active U.S. Security Clearance required.

Soft Skills

• Strong interpersonal skills and proven ability to collaborate effectively within cross-functional teams.
• Excellent written and verbal communication skills for technical documentation and team coordination.
• Meticulous attention to detail to ensure accuracy of integration processes and deliverables
• Strong problem-solving and analytical skills for troubleshooting complex systems.

Technology Stack

• Programming and scripting languages: Python, C/C++, Bash.
• Version control systems: Git.
• Build automation tools: Jenkins, GitLab CI.
• Familiarity with CI/CD pipelines and integration environments. 

Physical Requirements

• Ability to work in a standard office environment and use a computer for extended periods.
• Occasional travel may be required for team collaboration or system testing.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

The Strategic Finance & Performance Manager (Network Planning & Analytics) is responsible for developing financial models, forecasting deployment costs, and driving performance analytics to support capital‑efficient satellite‑RAN planning. This role ensures financial alignment with rollout priorities, investment decisions, and the broader global network expansion strategy. 

By integrating financial modeling with system‑level performance insights, the Strategic Finance & Performance Manager delivers critical analysis on deployment economics, cost drivers, and performance trade‑offs. This role directly shapes investment prioritization, deployment sequencing, and long‑term network planning decisions—ensuring financial discipline while enabling scalable, data‑driven global network growth. 

Key Responsibilities 

Financial Modeling & Forecasting 

• Lead development of detailed financial models supporting satellite‑RAN rollout, cost planning, and long‑term investment strategies. 

• Create deployment cost forecasts, scenario models, and financial projections aligned with network planning milestones. 

• Assess financial impacts of rollout sequencing, system architecture decisions, and network design trade‑offs. 

Deployment Economics & Investment Analysis 

• Evaluate economics of market entry, site deployment, satellite‑RAN integration, and scaling approaches. 

• Analyze capital efficiency across deployment phases, technologies, and market geographies. 

• Support investment prioritization by comparing ROI, payback, unit economics, and cost‑per‑coverage metrics. 

Performance Analytics & Operational Insights 

• Develop performance analytics frameworks that link financial outcomes with engineering and operational performance. 

• Identify drivers of deployment cost variance, efficiency gaps, and value‑creation levers across the network plan. 

• Translate performance insights into actionable recommendations for system‑level planning and portfolio optimization. 

Cross‑Functional Strategy Alignment 

• Collaborate with engineering, network planning, procurement, and operations to align financial models with technical realities. 

• Work closely with strategy and program teams to integrate financial inputs into deployment timelines and global expansion plans. 

• Provide financial guidance during design changes, rollout strategy adjustments, and major architecture decisions. 

Stakeholder Reporting & Strategic Support 

• Deliver financial insights, dashboards, and presentations that support executive decision‑making. 

• Provide finance‑driven recommendations for rollout sequencing, vendor decisions, and geographic prioritization. 

• Support long‑term business planning, budgeting cycles, and capital allocation reviews. 

Deliverables 

Primary Contract Deliverables: 

• Comprehensive financial models for satellite‑RAN rollout scenarios, cost forecasts, and long‑term planning. 

• Deployment economics analyses including ROI, IRR, unit economics, and capital efficiency assessments. 

• Performance analytics reports linking financial outcomes with engineering and operational metrics. 

• Monthly or quarterly financial dashboards supporting leadership decision‑making. 

• Investment prioritization frameworks and recommendations for market sequencing. 

• Cost variance analyses and efficiency improvement insights for ongoing deployment programs. 

• Budget inputs, forecast updates, and financial support for multi‑year network planning cycles. 

• Financial review packages for network planning milestones and architectural decision checkpoints. 

• Consolidated cross‑functional financial insights integrating engineering, planning, and business strategy inputs. 

Qualifications 

Education 

• Bachelor’s degree in finance, economics, business, engineering, or a related analytical field. 

• Master’s degree (MBA, MS Finance, or similar) preferred. 

Experience 

• 5+ years of experience in strategic finance, corporate finance, FP&A, investment analysis, or performance analytics. 

• Experience in telecommunications, network planning, satellite systems, or large‑scale infrastructure industries. 

• Proven record of developing complex financial models and supporting capital deployment decisions. 

• Prior experience with telecom network cost modeling, satellite/RAN economics, or infrastructure investment planning is a strong advantage. 

• Background supporting multi‑market or global expansion strategies is beneficial. 

Required Technical Expertise 

• Expertise in financial modeling, forecasting, and scenario analysis. 

• Strong understanding of unit economics, cost modeling, ROI/IRR calculations, and capital efficiency metrics. 

• Ability to interpret engineering inputs (network design, deployment phases, system trade‑offs) and convert them into financial frameworks. 

• Experience with performance analytics, data interpretation, and metric development. 

• Advanced command of Excel, financial modeling tools, and data analysis platforms. 

• Familiarity with analytics tools such as SQL, Python, Tableau, or Power BI is advantageous. 

• Understanding of technology‑driven cost structures, OpEx vs. CapEx frameworks, and large‑scale deployment modeling. 

Professional Skills 

• Strong analytical, quantitative, and problem‑solving skills. 

• Ability to communicate complex financial analysis in a simple, actionable way. 

• High attention to detail and strong organizational discipline. 

• Collaborative approach, especially with engineering, planning, operations, and procurement teams. 

• Ability to work effectively in a fast‑paced environment with competing priorities. 

• Strong stakeholder management and cross‑functional communication skills. 

• Ability to support strategic planning and provide clear recommendations during ambiguity or evolving technical requirements. 

Technology Proficiency 

• Advanced proficiency in Excel and financial modeling software. 

• Experience with data analytics tools (Python, SQL, Tableau, Power BI) is an advantage. 

• Strong working knowledge of Microsoft Office Suite (PowerPoint, Word). 

• Comfort working with financial databases, planning systems, and forecasting tools. 

Physical Requirements 

• Ability to work in a standard office environment and operate a computer for extended periods. 

• Occasional travel may be required for cross‑functional workshops, planning sessions, or site evaluations. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking an Associate Electrical Software Engineer to join our Software Validation and Testing Team. In this role, you will support component‑level and spacecraft‑level testing across multiple AST engineering divisions. You will work closely with software developers and engineering teams to assist in the development, testing, and deployment of vehicle software, using both hardware‑in‑the‑loop (HIL) and software‑in‑the‑loop (SIL) environments. This position is ideal for an engineer eager to grow their skills across electrical systems, software testing, and integrated spacecraft operations.

Key Responsibilities

• Execute and support testing activities on component‑level and spacecraft‑level platforms.
• Document test results, including post‑processing data and generating test reports.
• Support investigations into test failures, anomalies, and root‑cause analysis.
• Assist in developing test plans, procedures, and related documentation.
• Serve as the on‑site electrical engineering representative during testing activities.
• Ensure proper, safe, and effective use of Electrical Ground Support Equipment (EGSE).
• Track project deliverables and support team coordination.
• Provide technical guidance and help maintain industry best practices across the team.
• Collaborate with systems, electrical, and software engineers to support integrated operations and issue resolution.

Qualifications

Education

Bachelor’s degree in Engineering or a related technical field, preferably Electrical Engineering or Computer Engineering. 

Experience

• A minimum of 1–3 years of relevant engineering experience (internships or co‑ops may count toward experience).
• Experience with environmental testing or spaceflight hardware is highly valued.
• Experience programming in C/C++ and Python.
• Experience using electrical and diagnostic tools such as oscilloscopes, logic analyzers, multimeters, and DC power supplies.
• Experience reading and interpreting circuit diagrams and schematics.
• Familiarity with version control systems (preferably Git).
• Comfort using command‑line tools in Linux or Windows environments.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Understanding of Software‑in‑the‑Loop (SIL) and Hardware‑in‑the‑Loop (HIL) concepts.
• Ability to design simple PCBs for testing or custom hardware tasks.
• Familiarity with systems engineering verification and validation principles.
• Experience with MATLAB/Simulink.
• Experience with Speedgoat, dSPACE, or equivalent testing platforms.
• Knowledge of environmental health and safety requirements.
• Familiarity with grounding and ESD procedures.
• Experience working in lab or cleanroom environments.

Soft Skills

• Strong interpersonal skills and the ability to collaborate effectively within cross‑functional teams.
• Excellent written and verbal communication skills.
• Meticulous attention to detail to ensure accuracy in testing, documentation, and data reporting.
• Strong problem‑solving and analytical abilities.
• Ability to manage multiple tasks and support fast‑paced testing environments.
• Proactive mindset and willingness to learn new tools, techniques, and testing methods.

Technology Stack

• Programming: C/C++, Python
• Tools & Equipment: Oscilloscopes, logic analyzers, multimeters, DC power supplies
• Platforms: Linux and Windows
• Version Control: Git
• Additional Tools (preferred): MATLAB, Simulink, Speedgoat, dSPACE

Physical Requirements

• Ability to work in a standard office, lab, and test‑facility environment.
• Ability to use computers, engineering tools, and test equipment for extended periods.
• Ability to follow safety protocols, especially in lab and cleanroom settings.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking an Associate Software Engineer to join our Flight Software team. In this role, you will contribute to the development, integration, and testing of core software systems supporting satellite operations. You will work across embedded software development and Linux‑based system engineering, supporting both flight software and simulation environments that enable system validation and mission readiness.

This position is well‑suited for an early‑career engineer with strong fundamentals in embedded systems and an interest in space‑based platforms, who thrives in a collaborative and fast‑paced engineering environment. 

Key Responsibilities

• Design, develop, and test embedded software components from initial concept through integration and deployment
• Support software development for mission‑critical systems, including integration with simulation and test environments
• Collaborate with cross‑functional teams to implement new features and enhancements across multiple subsystems
• Contribute to system‑level architecture discussions by reviewing interface documentation and technical specifications
• Participate in debugging, validation, and performance analysis of software across development and test stages
• Support integration, test, and verification activities throughout the software lifecycle
• Follow modern software development workflows, including version control, testing, and continuous integration 

Qualifications

Education

Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field 

Experience

A minimum of 1–3 years of experience in software development, embedded systems, or related engineering roles (internships and academic project experience may count toward this requirement) 

Preferred Qualifications

• Experience with embedded development on microcontroller‑based systems
• Familiarity with real‑time operating systems (RTOS)
• Exposure to Linux system administration or Linux‑based development environments
• Experience supporting integration, test, or validation activities
• Familiarity with build systems and automation tools (e.g., CMake, Make, Ninja)
• Experience working with continuous integration tools or automated testing frameworks

Soft Skills

• Strong interpersonal and collaboration skills, with the ability to work effectively in cross‑functional teams
• Excellent written and verbal communication skills, including the ability to clarify requirements and share technical updates
• Meticulous attention to detail to ensure accuracy in code, documentation, and deliverables
• Strong problem‑solving and analytical skills in complex technical environments
• Ability to manage multiple tasks and meet deadlines in a dynamic setting 

Technology Stack

• Programming Languages: C, C++, Python
• Embedded Systems & RTOS environments
• Linux operating systems and command‑line tooling
• Version control and workflow tools (e.g., Git, issue tracking systems)
• Debugging and development tools (e.g., hardware debugging interfaces, test equipment)
• Software development lifecycle tools supporting testing and continuous integration 

Physical Requirements

• Ability to work in a standard office or lab environment and use a computer for extended periods
• Ability to participate in hands‑on development or test activities as needed
• May occasionally require work in lab or integration environments with standard engineering equipment

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

We are seeking a Lead Data Engineer to serve as a senior individual contributor—equivalent to a Staff or Principal Data Engineer—with full ownership of analytics data architecture and engineering standards. This hands‑on technical leadership role is part of a high‑impact analytics team responsible for enabling data‑driven decision‑making across satellite network planning, capacity and demand forecasting, network operations, and performance analytics. 

The Lead Data Engineer will design, build, and operate scalable, production‑grade data pipelines and analytical infrastructure to ensure high‑quality; reliable data is consistently available across global planning and operational workflows. This role defines how operational, network, and business data is ingested, modeled, governed, and consumed—transforming complex, heterogeneous datasets into trusted, decision‑ready analytics assets. 

While this position does not include people management, it carries significant technical ownership and influence. The Lead Data Engineer drives architectural strategy, establishes engineering best practices, and mentors analytics professionals to elevate data engineering maturity across the organization. 

 Success in this role is measured by enabling fast, confident, and consistent data‑driven decision‑making—not platform uptime alone. The focus is on delivering durable analytics foundations that support insight, alignment, and execution at scale 

Key Responsibilities 

Data Architecture & Platform Ownership 

• Own the end‑to‑end analytics data architecture, including ingestion, modeling, governance, and consumption patterns. 

• Design, build, and maintain scalable, reliable data pipelines supporting forecasting, network planning, and operational analytics. 

• Establish and operate a lakehouse‑style architecture (raw → normalized → curated). 
• Integrate diverse, complex operational and telemetry data sources into unified analytical and semantic models. 

Analytics Enablement & Decision Systems 

• Translate ambiguous business needs into durable data products, including curated datasets, semantic layers, and standardized KPIs. 

• Define KPI frameworks with consistent definitions, calculations, and refresh logic across teams. 

• Enable self‑service analytics by delivering trusted, well‑documented, discoverable datasets for BI and advanced analytics. 

  Data Quality, Reliability & Governance 

• Implement automated validation, monitoring, and freshness checks across critical pipelines. 

• Identify and resolve systemic data issues proactively, ensuring uninterrupted operational insights. 

• Design schemas and pipelines with governance needs in mind, including lineage, auditability, and certification. 

  Technical Leadership & Standards 

• Serve as the technical authority for analytics engineering and own architectural decisions. 

• Establish and enforce engineering best practices, including testing, version control, documentation, and modular SQL/Python patterns. 

• Mentor analysts and engineers to raise the quality and reliability of data products. 

• Capture metadata and ownership for scalable governance and enterprise cataloging. 

  Qualifications 

Education 

• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field required. 

• Master’s degree preferred but not required. 

  Experience 

• A minimum of 7–10 years of experience in data engineering, analytics engineering, or related fields. 

• Proven experience designing and operating production‑grade data systems at scale. 

  Preferred Qualifications 

• Experience in telecom, satellite networks, IoT, or other high‑volume telemetry data environments. 

• Familiarity with predictive analytics, forecasting workflows, or ML‑driven feature pipelines. 

• Hands‑on experience implementing data quality frameworks, metadata systems, or data lineage tooling. 

• Experience supporting enterprise analytics on a global scale. 

  Soft Skills 

• Strong interpersonal skills and ability to collaborate across cross‑functional teams. 

• Excellent written and verbal communication skills. 

• Strong problem‑solving, debugging, and prioritization abilities. 

• Ability to operate effectively in fast‑moving, ambiguous environments. 

• Meticulous attention to detail, ensuring accuracy across all documentation and data products. 

• Demonstrated ability to translate complex technical concepts for non‑technical stakeholders. 

  Technology Stack 

• SQL (advanced proficiency for analytics‑grade modeling and transformations) 

• Python (data processing, automation, pipeline development) 

• Cloud platforms such as AWS (preferred), Azure, or GCP 

• ETL/ELT tools such as Airflow, Prefect, or Azure Data Factory 

• Modern data ecosystems including Databricks, Snowflake, Redshift, or similar 

• BI and analytics tools such as Power BI, Tableau, or Looker 

• Version control (Git), CI/CD, and modern testing frameworks 

 Physical Requirements 

• Ability to work in a standard office environment and use a computer for extended periods. 
• Occasional virtual or in‑person collaboration across global teams. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview 

The Data Governance Manager ensures end‑to‑end governance of satellite network data by establishing and maintaining standards, lineage, controls, and data‑quality frameworks that support reliable analytics for BPMS, RAN planning, mobility modeling, and regulatory reporting. This role defines data policies, validates data integrity, manages catalogs and lineage, enforces compliance, and ensures datasets meet engineering and planning requirements for accurate forecasting and operational decision‑making. The position reports to the Director of Network Planning & Analytics. 

This role is responsible for ensuring the trustworthiness, consistency, and governance of all satellite‑network data used for planning, modeling, and regulatory submissions. The Data Governance Manager establishes governance standards, lineage practices, and quality controls that enable dependable analytics across BPMS, RAN planning, and mobility modeling. By enforcing data‑quality and compliance standards, the role underpins accurate forecasting, defensible regulatory reporting, and sound operational decisions at scale. 

Key Responsibilities 

Data Governance Framework & Policy Management 

• Establish data governance models, principles, and operating processes for satellite‑network datasets. 

• Define and enforce data policies, standards, classification rules, lifecycle guidelines, and governance controls. 

• Integrate governance requirements into planning workflows, data pipelines, and change management processes. 

Metadata, Lineage, Cataloging & Data Quality 

• Maintain data catalog, glossary, metadata repositories, and end‑to‑end lineage for critical planning and mobility datasets. 

• Ensure data discoverability, semantic consistency, and traceability across engineering and analytics systems. 

• Set data quality SLAs/SLOs, implement automated checks, and lead remediation for issues impacting planning accuracy or regulatory reporting. 

Compliance, Risk Management & Cross‑Functional Alignment 

• Ensure data compliance with regulatory reporting, internal governance, and audit requirements. 

• Maintain audit‑ready artifacts and evidence of lineage, access governance, and data controls. 

• Define stewardship roles, collaborate with planning, engineering, and analytics teams, and align data definitions with system‑level needs. 

Analytics Enablement, Change Control & Reporting 

• Certify trusted datasets for BPMS analytics, RAN planning, mobility modeling, and forecasting. 

• Govern schema changes, version control, and data lifecycle evolution across platforms. 

• Deliver dashboards and reporting on data quality, lineage completeness, control adherence, risks, and remediation status. 

Deliverables 

• Data governance charter and operating model; documented policies, standards, and control catalogs. 

• Enterprise data catalog with business glossary, certified data products, and end‑to‑end lineage maps. 

• Data quality framework with rules, SLAs/SLOs, scorecards, monitoring, and remediation workflows. 

• Stewardship model with ownership matrix (RACI), steward roster, and council meeting cadence notes. 

• Approved data models and definitions for BPMS, RAN planning, mobility modeling, and regulatory datasets. 

• Access governance artifacts (classification, RBAC/ABAC matrices), audit logs, and evidence packs. 

• Change management procedures covering schema/versioning, impact assessments, and rollback plans. 

• Quarterly governance dashboards (DQ trends, lineage completeness, incidents, SLA adherence). 

• Regulatory reporting data packs with traceable lineage, control evidence, and sign‑off records. 

• Deployment readiness “data certification” checklists for market activation and ongoing operations. 

Qualifications 

Education 

• Bachelor’s degree in Computer Science, Data/Information Systems, Engineering, or a related field. 

• Master’s degree (Data/Information Management, Analytics, or similar) is a plus. 

Experience 

• 5+ years in data governance, data management, or metadata/lineage/data quality leadership roles. 

• Experience governing analytics for telecom/satellite, networks, or other complex, regulated data environments. 

• Proven track record establishing policies/standards, implementing catalogs/lineage, and enforcing data quality controls. 

• Demonstrated cross‑functional leadership partnering with engineering, analytics, and regulatory stakeholders. 

Required Technical Expertise 

• Data governance frameworks and artifacts (policies, standards, stewardship, RACI, control catalogs). 

• Metadata/lineage management and data catalog administration (e.g., Microsoft Purview, Collibra, Alation, Apache Atlas, Unity Catalog). 

• Data quality frameworks and tooling (rule‑based and statistical checks; DQ SLAs, scorecards, monitoring, remediation). 

• Master & reference data management (MDM/RDM) and semantic modeling (conceptual/logical/physical). 

• Access governance (RBAC/ABAC), data classification, PII handling, encryption, and audit logging. 

• Cloud data platforms and pipelines (Azure/AWS; Databricks/Spark; Snowflake/Redshift; Synapse/Delta Lake). 

• Practical understanding of network/satellite data domains (telemetry, coverage/traffic KPIs, mobility events, spectrum/logs, cost/deployment data). 

Professional Skills 

• Structured, detail‑oriented problem solving with a strong documentation mindset. 

• Ability to translate regulatory and engineering requirements into clear data controls and standards. 

• Excellent stakeholder management and communication across technical and non‑technical audiences. 

• Change management leadership for data lifecycle governance and platform evolution. 

• Ability to prioritize in a fast‑paced environment and drive outcomes through influence. 

Technology Proficiency 

• SQL for profiling and validation; familiarity with Python/Spark for quality rules and data tests. 

• Experience with data catalogs, lineage tools, and DQ platforms; BI tools (Power BI/Tableau) for governance dashboards. 

• Working knowledge of CI/CD for data (versioning, release pipelines) and collaboration tools (Jira/Confluence). 

• Strong proficiency with Microsoft Office Suite (Excel, PowerPoint, Word); Windows/Linux environments. 

Physical Requirements 

• Ability to work in a standard office or lab environment and operate a computer for extended periods. 

• Occasional travel for cross‑functional workshops, audits, and market activation readiness reviews. 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking an Electrical Software Test Engineer to join our Software Validation and Testing Team. In this role, you will support component level and spacecraft level testing, working across multiple AST engineering divisions. You will collaborate closely with software developers and internal engineering teams to assist in the development, testing, and deployment of vehicle software using hardware in the loop (HIL) and software in the loop (SIL) testing techniques. This is an excellent opportunity for an engineer passionate about electrical systems, testing, and spacecraft operations.

Key Responsibilities

• Execute tests on component level and spacecraft level platforms.
• Document test results, including post processing data and generating test reports.
• Support investigations of test failures, anomalies, and root cause analysis.
• Assist in developing test plans, procedures, and documentation.
• Serve as the onsite electrical engineering representative during testing activities.
• Ensure safe and effective use of Electrical Ground Support Equipment (EGSE).
• Track project deliverables and support test team coordination.
• Provide technical guidance and uphold industry best practices.
• Collaborate with systems, electrical, and software engineers to support integrated operations and resolve issues.

Qualifications

Education

Bachelor’s degree in Engineering or a related field, preferably Electrical Engineering or Computer Engineering.

Experience

• A minimum of 2+ years of experience in electrical testing and software validation.
• Experience with environmental testing and spaceflight hardware.
• Experience programming in C/C++ and Python.
• Proficiency with electrical test tools such as oscilloscopes, logic analyzers, multimeters, and DC power supplies.
• Ability to read and analyze electrical schematics and circuit diagrams.
• Comfort with version control systems, preferably Git.
• Familiarity with command line tools and working in Linux or Windows environments.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience in RF engineering.
• Understanding of HIL/SIL testing concepts.
• Ability to design simple PCBs for testing or engineering tasks.
• Familiarity with systems engineering verification and validation principles.
• Experience with MATLAB/Simulink.
• Experience with Speedgoat, dSPACE, or similar testing platforms.
• Familiarity with environmental health and safety requirements.
• Knowledge of grounding and ESD procedures.
• Experience working in lab and cleanroom environments.

Soft Skills

• Strong interpersonal skills with the ability to collaborate effectively in cross functional teams.
• Excellent written and verbal communication skills.
• High attention to detail, ensuring accuracy in test execution, documentation, and reporting.
• Strong analytical problem-solving abilities.
• Ability to manage multiple priorities in a fast-paced engineering environment.
• Self-motivated and eager to learn new tools and testing techniques.

Technology Stack

• Programming: C/C++, Python
• Tools & Equipment: Oscilloscopes, logic analyzers, multimeters, DC power supplies
• Platforms: Linux, Windows
• Version Control: Git
• Additional Tools (preferred): MATLAB, Simulink, Speedgoat, dSPACE

Physical Requirements

• Ability to work in standard office, laboratory, and test facility environments.
• Ability to use computers, engineering tools, and test equipment for extended periods.
• Ability to follow safety protocols when working with spacecraft hardware, electrical systems, and lab equipment.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a motivated and technically skilled MOPS Software Development Intern to support development, automation, and software validation activities within the Mission Operations (MOPS) team.

The intern will contribute to automated testing, CI/CD pipeline enhancements, documentation of current and historical automation products, and forward‑looking infrastructure design efforts. This role is ideal for a junior‑level Computer Science or Aerospace Engineering student with strong coding skills—particularly in Python.

This is a 14-week internship beginning 05/18/2026 at our Lanham, MD location.  To be considered for the internship you must be enrolled in the following semester. If you are a recent graduate, please apply to one of our full-time roles.

Key Responsibilities:

• Develop automated code test coverage for:
  • Automated Procedure Scripts
  • Ground Automation Tasks
  • Mission Operations Tools
• Perform retrofit work to modernize historical vehicle automation to current tool design standards
• Implement advanced CI/CD pipelines and assist in adopting modern DevOps practices
• Generate comprehensive, organized documentation for both current and legacy codebases
• Support senior engineers in designing future-facing automation and infrastructure (3-, 6-, and 12‑month horizons)
  • Conduct design studies for advanced monitoring capabilities
  • Contribute to design document development
• Collaborate with cross-functional software and operations teams to support automation enhancements and software validation activities

Qualifications

Education:

Pursuing a degree in Computer Science or Aerospace Engineering (with strong coding experience required)

Experience:

• Strong Python programming skills
• Experience with additional programming languages is beneficial
• Junior‑level academic experience preferred

Preferred Qualifications:

• Junior in college preferred; strong sophomores will also be considered
• Strong proficiency in Python
• Experience with C++ or multi‑language coding environments
• Familiarity with CI/CD tools and DevOps workflows
• Exposure to automated testing frameworks or software validation practices
• Ability to understand and modernize legacy codebases

Soft Skills:

• Strong interpersonal and collaboration skills
• Ability to work effectively within cross‑functional teams
• Excellent written and verbal communication skills
• Meticulous attention to detail for documentation and code quality
• Strong analytical and problem-solving capabilities
• Ability to learn new technologies, tools, and development practices quickly

Technology Stack:

• Python (required)
• C++ (preferred)
• CI/CD tools (e.g., Jenkins, GitHub/GitLab CI)
• Git version control
• Automated testing frameworks
• Documentation tools (Markdown, Confluence, or similar)
• Additional tooling related to satellite operations automation and ground systems

Physical Requirements:

• Ability to work in a standard office or hybrid environment
• Ability to use a computer for extended periods
• Ability to participate in virtual or in‑person meetings and technical discussions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Mission Operations Development Engineer to develop, automate, and maintain the mission operations processes, tools, and procedures required for successful operation of the AST SpaceMobile satellite constellation. This role combines mission operations engineering with software-driven automation, with a strong focus on scripting satellite procedures, developing operational tooling, and enabling scalable, reliable constellation operations.

This position plays a key role in shaping the day‑to‑day function of the Satellite Operations Center (SOC) and its evolution over the lifetime of the constellation. The engineer will provide operational insight into system design while building the automation and procedures used on orbit.

Key Responsibilities

Mission Operations & SOC Development

• Develop and evolve mission operations processes and concepts of operations (ConOps) across all mission phases (LEOP, commissioning, routine operations).
• Perform trade studies on SOC software tools and operational architectures.
• Support SOC system design, integration, and scalability initiatives with a strong automation focus.
• Configure, operate, and troubleshoot SOC operations tools and environments.

Procedure Development & Automation

• Develop, test, and validate satellite operations procedures, sequences of events, and command scripts.
• Script and automate satellite command and control procedures using Python or similar scripting languages.
• Create telemetry validation logic and expected response checks for automated and manual operations.
• Improve and update procedures based on on‑orbit performance and lessons learned.

Operations Software & Tooling

• Design, develop, and maintain custom mission operations tools and automation scripts.
• Develop lightweight applications and tooling to support on‑orbit operations, monitoring, and analysis.
• Build or enhance dashboards, visualization tools, and operator interfaces.
• Integrate internal and external APIs into mission operations workflows.

Integration, Test, and Readiness

• Support system‑level integration testing and end‑to‑end testing between the SOC and factory satellite.
• Participate in operations tests, simulations, rehearsals, and readiness activities.
• Support mission operations during LEOP and other critical events, potentially including periodic rotating shifts.

Cross‑Functional Collaboration

• Work closely with systems engineers, flight software, ground software teams, and external vendors.
• Support requirements development, architecture reviews, design reviews, and program milestones.
• Provide mentorship and technical guidance to mission operations team members.

Qualifications

Education

Bachelor’s degree in an Engineering or STEM-related field.

Experience

Minimum of 2–5+ years in spacecraft mission operations, software development, or automation.

Required Qualifications

• Experience scripting operational procedures or automation workflows using Python or similar.
• Familiarity with satellite command and control operations and mission operations processes.
• Comfortable working in a Windows development and operations environment.
• Experience with AWS or other cloud environments.
• Familiarity with Git or other version control tools.
• Familiarity with Jira and Confluence.
• Strong problem‑solving skills with the ability to work independently.
• Excellent written and verbal communication skills.
• Ability to operate in a fast‑paced environment with evolving requirements.

Preferred Qualifications

• Experience with multi‑satellite LEO constellations.
• Experience developing or operating automated mission operations systems.
• Familiarity with distributed systems, networking protocols, and API integrations.
• Experience developing telemetry displays, dashboards, or operator interfaces.
• Basic experience with databases or data persistence systems.
• Systems engineering experience or coursework (requirements, architecture, I\&T).
• Experience supporting mission rehearsals, simulations, or critical on‑orbit operations.

Soft Skills

• Strong interpersonal skills.
• Proven ability to collaborate within cross‑functional teams.
• Excellent written and verbal communication skills.
• Meticulous attention to detail and documentation accuracy.
• Self‑starter with strong ownership and initiative.
• Ability to work effectively under tight deadlines and in high‑pressure operational environments.
• Strong operational mindset with a bias toward automation and reliability.

Technology Stack

• Python or similar scripting languages.
• AWS or equivalent cloud platforms.
• Windows OS (operations and development environment).
• Git / version control systems.
• Atlassian suite (Jira, Confluence).
• APIs for workflow integration.
• Basic database tools or persistence technologies (preferred).

Physical Requirements

• Ability to work in a standard office environment.
• Ability to use a computer for extended periods.
• Availability for periodic rotating shifts during critical mission operations, if required.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking an OSS Test & Automation Engineer to join the team responsible for developing our core network platform – OSS. In this role, you will act as the primary owner of OSS workflow automation development and test engineering. Your primary focus will be to build, test, document and maintain automation processes executed within the OSS platform - covering network operations, service assurance, reporting, and partner integration workflows. At the same time, you will tightly collaborate with internal Service Assurance and Service Delivery teams to gather requirements, transfer knowledge about the developed automation processes, and receive feedback about the required improvements and changes. You are not a pure QA resource since you are an automation developer who also ensures what is built is verifiably correct and operates as expected by the end users. 

Key Responsibilities:

• Design, develop, and maintain automation workflows and orchestration scripts executed within our own OSS platform, covering network operations, fault management, service assurance, reporting, and inventory
• Own and grow the automation backlog - identify manual, error-prone, or repetitive operational processes as candidates for automation, estimate effort, and drive items through to production delivery
• Design, implement, and maintain automated test suites that validate automation workflows under both nominal and fault/edge-case conditions
• Execute test plans, document results, track defects, and drive resolution in collaboration with all involved internal teams
• Produce clear test documentation of test plans, test cases, test reports, and coverage summaries
• Cooperate with internal Service Assurance and Service Delivery teams by fostering knowledge transfer, gathering requirements, and jointly identifying next steps in developing new automated workflows and processes
• Proactively identify automation failures, performance degradations, or reliability issues and drive root-cause analysis and remediation
• Continuously improve automation reliability, coverage, and maintainability based on operational feedback and incident learnings
• Act as first line contact and support line for internal Service Assurance and Service Delivery concerning OSS automated processes and workflows already introduced into production
• Maintain clear, accurate documentation for all automation workflows introduced 

Qualifications 

Education:

Bachelor’s degree in computer science, engineering, telecommunications or a related field — or equivalent professional experience.

Experience & Qualifications:

• A minimum of 3+ years of professional experience in automation engineering, test engineering, or a combined software/QA role, preferably in telecom, network operations, or OSS/BSS systems.
• Proven experience designing and building automation workflows, orchestration scripts, or operational automation pipelines — not just test scripts
• Solid proficiency in Python or any other scripting language and familiarity with modern test frameworks (e.g. pytest, Robot)
• Familiarity with at least one workflow orchestration or BPM tool (e.g. Camunda, Apache Airflow, Ansible, or similar)
• Ability to query and manipulate data in SQL and/or NoSQL databases
• Strong command of test strategy design, test case development, test automation frameworks, and defect lifecycle management
• Familiarity with telecom OSS concepts like FCAPS, TMF eTOM framework or similar operational support system concepts
• Practical exposure to network operations workflows and/or service assurance processes
• Working knowledge of NETCONF/YANG, SNMP, or TMF Open APIs as integration surfaces for automation workflows
• Familiarity with OSS platforms, NMS/EMS systems, or network simulation tools used for test environment setup
• Hands-on experience integrating automation with REST APIs and event-driven messaging systems (e.g. Kafka, RabbitMQ, SQS)
• Experience embedding quality gates and automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent)
• Practical experience with monitoring and logging tooling (Prometheus, Grafana, ELK stack, or equivalent) for making automated workflows observable in production
• Comfortable developing, deploying, and debugging automation in Linux

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Python (automation, scripting, test frameworks)
• Camunda, Apache Airflow, Ansible, or equivalent BPM/orchestration tooling
• Pytest, Robot Framework, or equivalent
• Postman, requests library, or similar
• GitHub Actions, GitLab CI, Jenkins, ArgoCD
• Prometheus, Grafana, ELK stack, structured logging
• REST, gRPC, Kafka, RabbitMQ, TMF Open APIs, NETCONF/YANG
• Databases:
  • PostgreSQL / MySQL (SQL)
  • MongoDB, Cassandra, or equivalent (NoSQL)
  • InfluxDB or similar (Time-series DBs)
• Docker, Kubernetes (working knowledge for deploying automation workloads)
• Git (GitHub / GitLab)
• Confluence, test case management tools (e.g. TestRail, Xray, or equivalent)

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Payload Operations Engineer responsible for performing all activities required to operate AST satellite payload subsystems in support of constellation service and in‑orbit testing. This is a day‑staff shift position supporting each AST Satellite Operations Center (SOC), with occasional weekend, holiday, and on‑call support to ensure 24×7 payload coverage.

Key Responsibilities

• Support development of payload operations tools to enable efficient and automated payload tasks.
• Operate payload tools to generate configuration items required for in‑orbit testing (IOT) and commercial service.
• Monitor automated service/testing processes and analyze results through telemetry and log evaluation.
• Coordinate payload system configuration changes to maintain commercial service levels.
• Collaborate with tool developers to implement functionality updates and payload software improvements.
• Troubleshoot issues in coordination with SOC, Network Operations Center (NOC), and subsystem engineering teams.
• Monitor and process payload subsystem telemetry to maintain state of health, including power, thermal, and RF performance.
• Maintain situational awareness of satellite, payload, and ground segment configuration and status.
• Operate SOC operations software tools and support development of automated operational tools.
• Participate in daily shift handover briefings.
• Support mission product development including procedure creation, testing, and validation.
• Contribute to system readiness activities, planning, and preparation for satellite in‑orbit milestones.
• Attend required training sessions, simulations, rehearsals, conferences, and program reviews.

Qualifications

Education

Bachelor’s degree in Engineering or a Science, Technology, Engineering, or Mathematics (STEM) field.

Experience

A minimum of 0–2 years of engineering or relevant technical experience.

Preferred Qualifications

• 2+ years of experience and/or a Master’s degree.
• Experience working with satellite communication payloads.
• Multi‑satellite LEO constellation operations experience.
• Demonstrated ability to define or refine concepts of operations (ConOps).
• Familiarity with version control software, preferably Git.
• Experience with Atlassian tools such as Jira and Confluence.
• Programming experience in at least one modern language (Java, Python, MATLAB, C, etc.).

Soft Skills

• Excellent written and verbal communication skills.
• Strong interpersonal skills with the ability to collaborate across cross‑functional teams.
• Demonstrated ability to work independently with minimal supervision.
• Meticulous attention to detail to ensure accuracy of documentation, telemetry assessment, and operational deliverables.
• Strong analytical and problem‑solving skills.
• Ability to work effectively in an environment with rapidly evolving system requirements.

Technology Stack

• Engineering analysis tools
• Payload operations software and SOC automation tools
• Version control systems (Git preferred)
• Atlassian suite (Jira, Confluence)
• Programming languages: Java, Python, MATLAB, C, or similar

Physical Requirements

• Ability to work in a standard office or operations center environment.
• Ability to use a computer and operations consoles for extended periods.
• Ability to support occasional shift work, including weekends, holidays, and on‑call rotations as required for 24×7 support.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Position Overview

We are seeking a Senior Full‑Stack AI Application Engineer with strong expertise in native iOS and VisionOS development to design and deliver advanced AI‑powered mobile and spatial computing applications. This role focuses on building intuitive, high‑performance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows.

You will own the application layer end‑to‑end while collaborating closely with cross‑functional teams to ensure seamless integration across mobile, spatial, and web platforms.

Key Responsibilities

• Design, develop, and maintain native iOS (Swift/SwiftUI) and VisionOS applications for AI‑enabled tools and operational workflows
• Develop immersive experiences on spatial and extended reality platforms for visualization, guided workflows, and interactive 3D environments
• Implement on‑device machine learning inference for real‑time analysis and visualization using mobile hardware capabilities
• Develop camera‑based workflows optimized for challenging physical environments and guided user interaction
• Architect offline‑first mobile solutions with local data storage and background synchronization
• Integrate mobile and spatial applications with backend services and web platforms for unified user experiences
• Build scalable interfaces for real‑time notifications, alerts, and status updates
• Contribute to full‑stack web applications supporting analytics, monitoring, and reporting use cases
• Optimize application performance, reliability, and usability for extended daily use
• Collaborate with product, data, and infrastructure teams to align application design with backend systems and AI pipelines

Qualifications

Education

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Experience

• A minimum of 5 years of full‑stack software development experience
• At least 3 years of native iOS application development with production‑level deployment

Preferred Qualifications

• Experience developing VisionOS or spatial computing applications
• Background building mobile applications for industrial, operational, or field environments
• Experience integrating computer vision or AI capabilities into mobile or AR applications
• Familiarity with 3D rendering, spatial visualization, or immersive UI concepts
• Experience supporting products through full lifecycle from concept to production
• Exposure to enterprise mobile deployment or device management environments

Soft Skills

• Strong interpersonal skills and ability to collaborate effectively with cross‑functional teams
• Excellent written and verbal communication skills
• Proven ability to take ownership of complex projects from design through delivery
• Strong problem‑solving skills with a proactive, solution‑oriented mindset
• Meticulous attention to detail to ensure high‑quality, reliable applications

Technology Stack

• Swift, SwiftUI, VisionOS, RealityKit, ARKit
• Core ML, on‑device inference frameworks
• React, Next.js, Python‑based APIs (e.g., FastAPI or similar)
• Relational and caching databases (e.g., PostgreSQL, Redis)
• Cloud‑based services and containerized environments
• RESTful and real‑time communication patterns (e.g., WebSockets)

Physical Requirements

• Ability to work in a standard office or hybrid environment
• Prolonged periods of working on a computer and mobile devices
• Ability to participate in design reviews, testing, and collaborative sessions as needed

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Overview of Opportunity 

Join the Trusted Electronics & Effects business unit  of Two Six Technologies—where you’ll lead vulnerability research across hardware, software, and operational systems. Working side by side with engineers and security researchers, you’ll guide investigations, identify critical vulnerabilities, and develop countermeasures with operational impact. Our fast-growing roster of government customers relies on us to deliver advanced security solutions, and we’re looking for a Lead Vulnerability Researcher to provide technical leadership and mentorship.

This role requires regular on-site support at the Laurel, Maryland customer site.

What you will do:

• Lead the identification of vulnerabilities and attacks across hardware, software, personnel, logistics, procedures, and physical security.
• Develop proof of concept (PoC) code for identified vulnerabilities
• Reverse-engineer targeted embedded systems to identify vulnerabilities
• Review source code looking for risks and vulnerabilities
• Analyze the effects of vulnerabilities on mission outcomes and operational effectiveness.
• Compare system attack techniques and propose operationally effective countermeasures
• Produce reports, briefings, and perspectives on actual and potential attacks
• Provide technical leadership on research efforts, prioritizing investigations, reviewing methodologies, and overseeing proof-of-concepts.
• Mentor and guide junior engineers and researchers, reviewing technical approaches and fostering skill development.

What you will need (Basic Qualifications):

• Doctorate in Computer Science, Computer/Electrical Engineering, or a related field and 4 years of relevant experience, OR Master’s degree and 6 years of relevant experience, OR Bachelor’s degree and 8 years of relevant experience, OR Associate’s degree and 10 years of relevant experience.
• Relevant experience: computer/information systems design/development, programming, information/cyber/network security, reverse-engineering, vulnerability analysis, penetration testing, computer forensics, information assurance, or systems engineering
• Proficiency in C/C++, Python, and at least one ISA (e.g. x86/ARM/MIPS)
• Proficiency in Linux command-line environments
• Experience using a decompiler such as IDA Pro, Binary Ninja, or Ghidra
• Experience using vulnerability research tools such as emulators or fuzzers
• Experience using a software debugger such as GDB or WinDbg
• Ability to work on-site at Laurel, Maryland customer site regularly.

Nice If You Have (Preferred):

• Experience translating vulnerabilities into operationally relevant impact assessments and countermeasures.
• Experience producing client-facing technical briefings for operational stakeholders
• Experience using a hardware debugger
• Experience with UART, SPI, I2C
• Experience with common secure communications such as TLS or SSH 
• Familiarity with embedded firmware, RTOS, or networked systems
• Familiarity with high-side environments

Security Clearance:

• Active TS/SCI clearance with Polygraph required

#LI-JK1

#LI-ONSITE

Overview of Opportunity 

Join the Trusted Electronics & Effects business unit of Two Six Technologies, where you’ll provide strategic technical leadership in vulnerability research across hardware, software, and operational domains. Working alongside engineers, researchers, and clients, you’ll identify vulnerabilities, assess operational impacts, and develop effective countermeasures. Our fast-growing roster of government customers relies on us to deliver advanced security solutions, and we’re looking for a Principal Vulnerability Researcher to drive research programs and mentor technical teams.

This role requires regular on-site support at the Laurel, Maryland customer site.

What you will do:

• Lead the identification of vulnerabilities and attacks across hardware, software, personnel, logistics, procedures, and physical security, linking them to operational and mission impacts.
• Identify vulnerabilities and potential attacks across hardware, software, procedures, logistics, and physical security of systems
• Develop proof of concept (PoC) code for identified vulnerabilities
• Reverse-engineer targeted embedded systems to identify vulnerabilities
• Review source code looking for risks and vulnerabilities
• Analyze the effects of vulnerabilities on mission outcomes and operational effectiveness.
• Compare system attack techniques and propose operationally effective countermeasures
• Produce reports, briefings, and perspectives on actual and potential attacks
• Provide technical leadership on research efforts, prioritizing investigations, reviewing methodologies, and overseeing proof-of-concepts.
• Mentor and guide junior engineers and researchers, reviewing technical approaches and fostering skill development.

What you will need (Basic Qualifications):

• Doctorate in Computer Science, Computer/Electrical Engineering, or a related field and 7 years of relevant experience, OR Master’s degree and 9 years of relevant experience, OR Bachelor’s degree and 11 years of relevant experience, OR Associate’s degree and 13 years of relevant experience.
• Relevant experience: computer/information systems design/development, programming, information/cyber/network security, reverse-engineering, vulnerability analysis, penetration testing, computer forensics, information assurance, or systems engineering
• Proficiency in C/C++, Python, and at least one ISA (e.g. x86/ARM/MIPS)
• Proficiency in Linux command-line environments
• Experience using a decompiler such as IDA Pro, Binary Ninja, or Ghidra
• Experience using vulnerability research tools such as emulators or fuzzers
• Experience using a software debugger such as GDB or WinDbg
• Ability to work on-site at Laurel, Maryland customer site regularly.

Nice If You Have (Preferred):

• Experience translating vulnerabilities into operationally relevant impact assessments and countermeasures.
• Experience producing technical briefings for operational stakeholders
• Experience using a hardware debugger
• Experience with UART, SPI, I2C
• Experience with common secure communications such as TLS or SSH 
• Familiarity with embedded firmware, RTOS, or networked systems
• Familiarity with high-side environments

Security Clearance:

• Active TS/SCI clearance with Polygraph required

#LI-ZS1

#LI-ONSITE

Overview of Opportunity 

Join the Trusted Electronics & Effects business unit of Two Six Technologies, where you’ll immerse yourself in reverse engineering and vulnerability research on a wide range of embedded systems, software, and operational processes. Working alongside reverse engineers and security researchers, you’ll identify vulnerabilities, analyze attack vectors, and assess operational impacts on some of the most critical systems for our customers. Our fast-growing roster of government customers relies on us to deliver advanced security solutions, and we’re looking for a Senior Vulnerability Researcher to help us continue pushing boundaries. If you’re passionate about vulnerability research that can make a tangible impact on national security, we want you on our team.

This role requires regular on-site support at the Laurel, Maryland customer site.

What you will do:

• Identify vulnerabilities and potential attacks across hardware, software, procedures, logistics, and physical security of systems
• Develop proof of concept (PoC) code for identified vulnerabilities
• Reverse-engineer targeted embedded systems to identify vulnerabilities
• Review source code looking for risks and vulnerabilities
• Analyze the effects of vulnerabilities on mission outcomes and operational effectiveness.
• Compare system attack techniques and propose operationally effective countermeasures
• Produce reports, briefings, and perspectives on actual and potential attacks
• Mentor junior engineers and analysts, reviewing technical approaches and guiding research methodology.

What you will need (Basic Qualifications):

• Bachelor’s degree and 5 years of relevant experience, OR Associate’s degree and 7 years of relevant experience.
• Relevant experience: computer/information systems design/development, programming, information/cyber/network security, reverse-engineering, vulnerability analysis, penetration testing, computer forensics, information assurance, or systems engineering
• Proficiency in C/C++, Python, and at least one ISA (e.g. x86/ARM/MIPS)
• Proficiency in Linux command-line environments
• Experience using a decompiler such as IDA Pro, Binary Ninja, or Ghidra
• Experience using vulnerability research tools such as emulators or fuzzers
• Experience using a software debugger such as GDB or WinDbg
• Ability to work on-site at the Laurel, Maryland customer site regularly.

Nice If You Have (Preferred):

• Experience producing technical briefings for operational stakeholders
• Experience using a hardware debugger
• Experience with UART, SPI, I2C
• Experience with common secure communications such as TLS or SSH 
• Familiarity with embedded firmware, RTOS, or networked systems
• Familiarity with high-side environments

Security Clearance:

• Active TS/SCI clearance with Polygraph required

#LI-JK1

#LI-ONSITE

Sr. Software Engineer - US

Location: Massachusetts, Maryland, or Greater Austin, TX (Remote)
Team: Product & Engineering
Employment Type: Full-Time

About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role

We’re looking for a Senior Software Engineer to design, build, and scale the core systems that power VulnCheck’s vulnerability intelligence platform. This is a high-impact, hands-on role where you’ll own critical services and data pipelines end-to-end—from design through production.

You’ll play a key role in shaping architecture, improving system performance and reliability, and delivering features that directly impact customers. While you’ll help resolve production issues, your focus will be on building durable, scalable solutions that prevent them. Although this is a 100% remote role, candidates must be located in either Massachusetts, Maryland, or Greater Austin, TX.

What You’ll Do

• Design and build scalable backend systems, APIs, and data pipelines
• Own services end-to-end, including architecture, development, deployment, and operation
• Lead technical design discussions and contribute to system architecture decisions
• Write high-quality, maintainable code and drive engineering best practices
• Debug complex production issues and implement long-term, scalable solutions
• Improve system performance, reliability, and observability across the platform
• Partner closely with Product, Data, and other Engineering teams to deliver impactful features
• Mentor junior engineers and contribute to a strong engineering culture
• Participate in incident response and on-call rotations 

What You’ll Bring

• 5+ years of experience building and scaling backend systems as a software engineer
• Strong programming skills in one or more languages (Python, Go, Java, etc.)
• Experience designing distributed systems and working with microservices architectures
• Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred)
• Experience working with data pipelines, ETL systems, or high-volume data processing
• Proven ability to debug and optimize production systems
• Strong ownership mindset with the ability to lead projects independently
• Excellent communication skills and ability to collaborate cross-functionally

Preferred Qualifications

• Experience in cybersecurity, vulnerability management, or threat intelligence
• Familiarity with CVE, NVD, KEV, or exploit intelligence datasets
• Experience with streaming systems or real-time data processing
• Background in high-growth or startup environments

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles:

Benefits and Perks

• Unlimited PTO
• 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation
• Comprehensive healthcare coverage
• Generous paid parental leave
• Remote friendly environment with flexibility
• Expense reimbursement for Cell Phone & Internet 
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role

VulnCheck is looking for a Red Team Systems Administrator / Lab Manager to build, maintain, and operate the lab infrastructure that supports our vulnerability research team. This role is responsible for standing up and managing a research environment that includes networking equipment, IoT / OT devices, and the supporting compute, storage, and network infrastructure our researchers depend on to discover, analyze, and validate vulnerabilities.

You'll work closely with our exploit developers and threat researchers to ensure they have reliable, secure, and reproducible environments for testing against real-world hardware and software. The lab is central to VulnCheck's mission — our researchers need to move fast, and the infrastructure has to keep up. While this is a hybrid role, the position requires regular onsite management of physical lab equipment in the Fort Meade, MD area. 

What You'll Do

• Design, build, and maintain the physical and virtual lab infrastructure used by VulnCheck's vulnerability research team.
• Procure, configure, and manage networking equipment (routers, switches, firewalls, wireless access points) and IoT / OT devices used for security research and exploit validation.
• Manage lab network architecture — including segmentation, VLANs, out-of-band management, and isolated test environments to safely run exploit code against live devices.
• Administer Linux and Windows servers, hypervisors, and virtualization platforms (e.g., VMware, Proxmox, KVM) that host vulnerable software and services for testing.
• Maintain firmware libraries and device inventories, ensuring researchers have access to specific hardware and software versions needed for vulnerability analysis.
• Provide remote access infrastructure (VPN, jump hosts, remote console access) so distributed team members can interact with physical lab equipment.
• Automate environment provisioning, configuration management, and lab reset workflows using tools such as Ansible, Terraform, or similar.
• Monitor lab systems for availability, performance, and security — and respond to issues promptly.
• Collaborate with researchers to understand upcoming research targets and proactively prepare the lab environments they need.
• Manage vendor relationships for hardware procurement, warranties, and RMA processes.
• Document lab architecture, procedures, and runbooks to ensure operational continuity.

What You'll Bring

• 8+ years of experience in systems administration, lab operations, or infrastructure engineering.
• Strong hands-on experience with Linux system administration (Ubuntu, CentOS/RHEL, or similar).
• Solid networking fundamentals — TCP/IP, DNS, DHCP, VLANs, firewall configuration, and routing.
• Experience managing and configuring networking equipment (Cisco, Juniper, MikroTik, etc).
• Familiarity with IoT devices and embedded systems — comfortable working with serial consoles, JTAG, firmware flashing, and device provisioning.
• Familiarity with OT/ICS devices and protocols is a huge plus.
• Experience with virtualization and containerization technologies (VMware, Proxmox, KVM, Docker).
• Experience with configuration management and infrastructure-as-code tools (Ansible, Terraform, or similar).
• Ability to work independently and manage priorities across multiple concurrent research efforts.
• Strong documentation habits and clear written communication.
• Scripting skills in Python, Bash, or Go for automating lab workflows; familiarity with Go is a plus. 

Preferred Qualifications

• Experience using Claude or other AI models for task automation. 
• Prior experience supporting a security research, penetration testing, or red team lab environment.
• Prior cybersecurity work experience (at a vendor or in government).
• Experience managing physical lab infrastructure remotely, including out-of-band management (IPMI/iLO/iDRAC), remote PDUs, and KVM-over-IP.

*IMPORTANT NOTE: This position may involve access to technology subject to U.S. export control regulations. Employment is contingent upon the company's ability to authorize access under applicable export control, sanctions, and any other applicable legal or contractual requirements. The company does not guarantee and is under no obligation to seek such authorization if it would be necessary.

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles.

Benefits and Perks

• Competitive salary with employee equity program
• Health, dental, and vision coverage
• Unlimited PTO
• 401(k) plan
• Remote friendly environment with flexibility
• Expense reimbursement for home internet and phone
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture — we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

What You'll be Owning

GRVTY is seeking a Cloud Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Annapolis Junction, MD. The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience with at least a subset of the following: Devops, Elastic Search, NiFi, Python, Java/Spring Boot, Angular
• Eight (8) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing. Bachelors degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
• The following Cloud related experiences are required:
• Two (2) years of Cloud and Distributed Computing Information Retrieval (IR).
• One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
• One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
• One (1) year of experience with implementing complex MapReduce analytics.
• One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing 2. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• Experience with Information Assurance: Securing Cloud Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate and Server Authentication with experience in Corporate authentication service(s)
• Experience with Information Technology:
• Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
• Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase , JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
• Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB
• Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
• Aspect Oriented Design and Development
• Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
• UNIX/LINUX, CentOS
• Experience with SIGINT:
• Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis
• Experience with Other:
• CentOS and Linux/RedHat
• Configuration management tools such as Subversion, ClearQuest, or Razor

What Would Be Nice to Have

• Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval
• Implement complex workflows that manage Cloud MapReduce analytics
• Implement code that interacts with Cloud Distributed Coordination Frameworks
• Oversee one or more software development tasks and ensures the work is completed in accordance with the constraints of the software development process being used on any particular project
• Make recommendations for improving documentation and software development process standards

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc

Your Role:
The Security Consultant plays a key role in implementing and enabling Tenable’s Exposure Management solutions to help organizations effectively manage and reduce cyber risks. This role onboards Tenable technologies, following industry standards and best practices, to deliver customized solutions that address vulnerabilities across a client’s attack surface. This role's primary focus will be on client billable work, where you will ensure the efficient identification and mitigation of vulnerabilities. Additionally, the role will have the chance to broaden your knowledge across the Tenable portfolio through hands-on experience and learning opportunities facilitated by the Professional Services Organization.

Your Opportunity:

• Develop a deep understanding of the client’s business and unique security needs to deliver tailored engagements that exceed expectations.
• Build and maintain positive relationships with clients, ensuring ongoing satisfaction and partnership.
• Provide clients with continual insights and consultative advice based on experience with Tenable products, their industry, established standards, and best practices.
• Support clients with the installation, configuration, and operation of Tenable solutions, ensuring they are effectively implemented to meet business and security goals.
• Oversee upgrades and migrations to new hardware or software, facilitating smooth transitions with minimal disruption.
• Offer expert guidance on implementing best practices with Tenable solutions to optimize security workflows and operational efficiency.
• Assist clients in developing and maintaining security policies, standards, and procedures, ensuring they align with industry standards and regulatory requirements.
• Provide ongoing value through insights and consultative advice on Tenable products, tailored to client needs and industry best practices.
• Share thought leadership on effective deployment and utilization of Tenable One solutions.
• Guide clients in implementing best practices and developing Exposure Management Programs.
• Assess user needs and customer requirements to advance the maturity of their Exposure Management program.
• Deliver additional value through continual insights and consultative advice based on Tenable products, client needs, industry standards, and best practices.
• Provide thought leadership on methods and best practices for deploying and using Tenable One solutions.
• Advise clients on process best practices and assist in developing Exposure Management Programs.
• Research user needs and assess customer requirements to enhance the maturity of their Exposure Management program.
• Ensure overall customer satisfaction while supporting delivery revenue objectives.
• Execute large customer engagements, understanding client business and unique needs to exceed expectations.
• Independently manage client escalations on assigned projects, coordinating with the delivery team and other Tenable departments as needed.
• Develop and maintain positive client relationships and train client staff on the implementation, configuration, and best practices of the Tenable suite.

What You'll Need:

• 5+ years of experience in the Information Technology/Cyber Security field and professional services experience.
• Bachelor’s degree in a related technical field such as Information Technology, Computer Science, or equivalent work experience.
• Strong written and verbal communication skills. Must be comfortable leading 3+ hour calls and keeping up the progression of tasks on the call while assuring that all relevant topics are addressed.
• Strong analytical skills and troubleshooting skills, with the ability to diagnose and resolve complex security issues.
• Proficiency in assessing and identifying threats and risks related to Exposure Management, including vulnerabilities and weaknesses in host or network configurations.
• Recent experience performing vulnerability scans, configuration audits, and security monitoring with core Tenable products, or other industry solutions.
• Familiarity with Metasploit and related tools commonly used to exploit vulnerabilities.
• Familiarity with application security testing, OWASP and common exploitable web application threats in Exposure Management.
• Knowledge of auditing and configuration frameworks such as ISO 17799, CIS, PCI, GLBA, and HIPAA is preferred.
• Proven experience managing client expectations, building relationships and delivering consultative advice to ensure successful outcomes.
• Understanding of IT security principles associated with networks, operating systems, firewalls, databases,  cloud infrastructure, identity and access management with experience in one or more of the fields.
• Familiar with developing integrations via REST API using known coding languages such as Python.
• Knowledge and understanding of SCADA and OT systems is a plus.
• Industry-recognised technical certifications are preferred.
• Client-facing travel may be required.
• May perform other duties and responsibilities that management may deem necessary from time to time.
• This position is US-based only.

#LI-MM1

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

T-Rex is looking for a fully cleared DevOps Engineer to work on a program in the Annapolis Junction, Maryland area in support of the Intelligence Community.

Responsibilities:

This Position Is An Onsite Role

Provide optimization and automation across multiple platforms and applications.

Drive consistency for deployment and build processes.

Utilize modern tools like Jenkins, Docker, Kubernetes, Amazon Web Services, Ansible, Terraform, Python, Linux, and much more.

You have worked with teams before on large and demonstrable projects (preferably built on with AWS and familiarity with scripting languages such as Bash, Ruby, Python).

Familiarity with containerization tools like Docker and Kubernetes.

You understand how to set up a CI/CD pipeline.

You understand Agile software development and DevOps practices and can work closely with your peers other mid-to large size teams.

Focus on understanding customers' needs and translating those needs from product specifications into functional, production ready code and infrastructure.

The following skills are required: AWS (S3, VPCs & Networking, EC2, ECS/EKS). Containerization (Docker, k8s, Registries). IaC (Terraform/Cloud Formation). CI/CD (Jenkins/ GitHub Actions).

You are self-driven, self-learner willing to share knowledge and participate actively in a team environment.

CWIP IAT Level I required.

T-Rex Overview

Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.

T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.

T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.

In compliance with pay transparency guidelines, the annual base salary range for this position is $150,000 - $250,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.

T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.  

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

Job Description:

We are seeking a Cloud Software Engineer to develop, maintain, and enhance complex and diverse Big-Data Cloud systems based upon documented requirements. In this role, you will directly contribute to all stages of back-end processing, analyzing, and indexing. The ideal candidate for this role will offer enterprise JAVA development experience on cloud platforms and have extensive experience in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design. Please consider applying if you have the following required qualifications and experience.

Required Qualifications:

• TS/SCI with polygraph security clearance.
• Eight (8) years of experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing. A bachelor’s degree in computer science or related discipline from an accredited college or university is required. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelor’s degree for a total of twelve (12) years of experience. Master’s degree in computer science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
• The following Cloud related experience is required:
  • Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
  • One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
  • One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
  • One (1) year of experience with implementing complex MapReduce analytics.
  • One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• Experience in Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), and/or Cloud Computing.
• Experience in multi-node management and installation to include management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• Experience in information assurance to include securing cloud-based and distributed applications through industry standard techniques such as Firewalls, PKI Certificate, and Server Authentication with experience in corporate authentication service(s). 
• Experience in information technology to include Object Oriented Design and Programming, Java, Eclipse (or similar development environment), MAVEN, and RESTful web services.
• Experience with debugging and profiling cloud and distributed installations to include Java Virtual Machine (JVM) memory management, profiling Java applications, UNIX/LINUX, and/or CentOS.
• Experience ingesting, parsing, and analysis of Disparate Data-sources and formats to include XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro, and related technologies.

What Impact You'll Have

GRVTY is seeking a Technical Foreign Instrumentation Signals Intelligence (TechFISINT) Course Developer-Instructor to deliver course development and instruction.

What You'll be Owning

The TechFISINT Training Content Developer-Instructor will be responsible for:

• Providing engineering analysis and technical support and resolving tasks to completion.
• Processing of data using mapping tools, algorithms, intelligence reports, and display tools.
• Identifying out-of-the-ordinary telemetry formats.
• Conducting FISINT signals analysis using particular computer software and hardware.
• Analyzing of telemetry data to determine basic level of understanding of system performance characteristics, and capabilities.
• Using FISINT terminology and documentation of cohesive analytic findings in accordance with SIGINT and Telemetry Beaconry Analysis reporting standards.
• Developing of accurate signal chronologies and determination of relationships between related signals.
• Maintaining expertise in TechFISINT.
• Soliciting and receiving course feedback from students and other people and timely incorporating appropriate feedback into courses and presentations.
• Developing new TechFISINT courses, modules, and presentations while ensuring the accuracy and currency of existing ones.
• Using good communication skills when working with others in the development,

What You Must Have

A TechFISINT Developer-Instructor candidate will have 2 or more years of technical teaching experience and/or technical curriculum development (e.g., military courses, academia or industry classroom (faculty/adjunct), On-the-job (OJT) instruction). Additional qualifications include:

• Bachelor’s Degree (or higher) in a technical science major (Engineering, Mathematics, Computer Science, Physical Sciences, or comparable area), 4 or more years of TechSIGINT collection, processing, and analysis experience (within the past 10 years).
• Knowledge and experience with one or more of the following:
  • Python
  • MATLab
  • Radio Frequency/Antennas
  • Software Defined Radio (SDR) framework
  • Signals Analysis
• TS/SCI Clearance with Polygraph
• If the candidate does not have a Bachelor’s Degree (or higher) in a technical science major (Engineering, Mathematics, Computer Science, Physical Sciences, or comparable area), 6 or more years of TechSIGINT experience (within the past 10 years).

What Impact You'll Have

GRVTY is seeking a Course Developer-Instructor for Operational Electronic Intelligence Signals Analysis (OpELINT) to support the development and delivery of advanced Operational Electronic Intelligence Signals Analysis (OpELINT) training.

 What You'll be Owning

The Course Developer-Instructor for Operational Electronic Intelligence Signals Analysis (OpELINT) is responsible for course development and instruction of analysis on intelligence derived from a variety of sources. You will be responsible for:

• Soliciting and receiving course feedback from students and other people and timely incorporating appropriate feedback into courses and presentations.
• Maintaining expertise in OpELINT.
• Developing new OpELINT courses, modules, and presentations while ensuring the accuracy and currency of existing ones.
• Using good communication skills when working with others in the development, presentation.
• Updating of OpELINT teaching and course material.

What You Must Have

The OpELINT Training Content Developer-Instructor must possess the following:

• Bachelor’s Degree (or higher) in a technical science major (Engineering, Mathematics, Computer Science, Physical Sciences, or comparable area).
• 8 or more years of OpELINT experience (within the past 15 years).
• Experience with one or both of the following:
  • Python coding;
  • Machine Learning.
• If the candidate does not have a Bachelor’s Degree (or higher) in a technical science major (Engineering, Mathematics, Computer Science, Physical Sciences, or comparable area):
  • 8 or more years of OpELINT experience (within the past 15 years); and
  • Prior successful completion of Course SIGP2500 “Introduction to Operational PROFORMA Fusion.”
• TS/SCI Clearance and Polygraph

Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Location: College Park (Hybrid – ~50% Minimum In-Person)

 Who We Are

Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.

Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.

Position Overview

The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.

This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner’s mission.

The program runs year-round, with:

• Part-time participation during the academic year
• Full-time engagement during the summer

Fellows will work in collaborative teams (ideally groups of 2–3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.

Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.

Key Responsibilities

• Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
• Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
• Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
• Develop proof-of-concept solutions with measurable impact
• Apply software engineering best practices (version control, testing, documentation)
• Analyze technical feasibility and potential business value of solutions
• Present findings, demos, and final prototypes to leadership
• Manage project timelines and contribute to team-based innovation

Focus Areas

• Large Language Models (LLMs) and AI-enabled applications
• Cloud-native development and distributed systems
• Cybersecurity and secure system design
• B2B platforms and enterprise solutions
• Government and public sector technology

Qualifications (Required)

• Must reside in a HUBZone
  (Verify eligibility: https://maps.certify.sba.gov/hubzone/map)
• Ability to participate in a hybrid model (~50% in-person in College Park)
• Currently enrolled student or recent graduate in a relevant field

Preferred Qualifications

• Background in Computer Science, Software Engineering, Data Science, or Business
• Strong preference for candidates with software development experience
• Experience with programming languages such as Python, JavaScript, or Java
• Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Understanding of APIs, microservices, or distributed systems

Candidate Profile (What We’re Looking For)

• HUBZone candidates strongly encouraged to apply
  (Goal: Build a cohort of at least 9 HUBZone participants, including current interns)
• Team-oriented applicants
• Preference for candidates applying in teams of 2–3
• Teams with prior working relationships or strong collaboration experience are highly encouraged
• Balanced technical + business mindset
• Ideal team composition: 2 technical (software-focused) + 1 business-oriented member
• Candidates with business, product, or entrepreneurial experience are a plus
• High energy and motivation
• Demonstrated strong work ethic
• Passion for innovation, problem-solving, and building new solutions
• Ability to thrive in fast-paced, ambiguous, startup-like environments

 Startup Accelerator Opportunity

Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.

Additional Benefits

• Industry-leading weekly pay schedule
• Hybrid work environment with strong in-person collaboration
• Access to cutting-edge AI tools and cloud resources
• Professional development and certification support
• Opportunity to build real-world portfolio projects
• Exposure to startup and enterprise innovation
• Home office support

Why Join Rackner?

This fellowship is more than an internship, it’s an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.

We are looking for a Senior Quantum Field Engineer for our US Federal business. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire and co-engineer solutions with the US Intel Agencies by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 10+ years of experience in technical customer-facing role or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical.
• US Citizen, with Top Secret (TS) / Sensitive Compartmented Information (SCI) clearance required, with a full scope polygraph preferred
• 5 years of focused experience with technology companies that support US Intel Agencies
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.
• Mission oriented person - driven to help the US Federal Government Intel agencies

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US or Canada.
Travel: Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
Job ID:  1311

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

We are seeking a highly motivated and versatile Senior IT Administrator to be the dedicated on-site IT presence for our College Park office and the primary technical resource for two nearby satellite lab locations. This critical role involves providing hands-on support across the entire IT spectrum, including end-user helpdesk, A/V management, networking, and critical project work.

Responsibilities:

Onsite IT Operations and End-User Support

• Primary Technical Liaison: Serve as the dedicated, primary technical point of contact for the main College Park office, providing scheduled, expert support visits to two satellite lab locations in the region.
• Helpdesk & Desktop Support: Deliver hands-on Level 2 support, specializing in the timely diagnosis and resolution of all hardware, software, connectivity, and printer issues for local staff.
• Asset Lifecycle Management: Own the complete local IT inventory lifecycle, including the provisioning, maintenance, and retirement of all end-user hardware (laptops, monitors, peripherals), while ensuring continuous stocking of essential IT supplies.
• Lab Equipment Support: Provide dedicated operational and technical support for IT equipment within critical laboratory environments.
• A/V Management: Manage the setup, operation, and ongoing support of all conference room A/V equipment and provide reliable, on-the-spot support for meetings and occasional company-wide events.

Lab Infrastructure & Configuration Management (SDE/Automation Focus)

• Lab Workstation Management: Serve as the primary contact for lab IT support. This includes setting up new lab workstations (imaging and baseline), deploying standard configurations via playbooks, and maintaining a test workstation for pre-production changes.
• Data Access & Networking: Set up permissions for lab workstations to securely access IonQ data (e.g., shared drive, Confluence). Assist with deploying necessary lab network services (e.g., DNS server, Synology/shared drive configuration).
• Routine Maintenance: Coordinate and perform routine maintenance, including monthly software updates and reboots for lab workstations, in coordination with research teams.
• Documentation: Update and write guides for recurring lab IT tasks (e.g., remote connection, SSH, file sharing).

Network and Infrastructure Assistance

• Local Network Troubleshooting: Perform foundational network troubleshooting for common issues related to VPNs, switches, firewalls, and wireless access points (APs).
• Escalation & Liaison: Serve as the local technical liaison, escalating complex network issues to the core engineering teams and coordinating local efforts.
• Physical Deployment: Assist the network engineering team with the physical installation and de-installation of networking gear (e.g., racking/stacking switches, and deploying APs).

Strategic Projects and M&A Integration

• Corporate Projects: Actively participate in assigned internal corporate IT projects, such as system upgrades, security initiatives, and documentation/process standardization improvements.
• Remote Site Deployment: Travel occasionally to new or acquired satellite locations to execute the foundational installation of desktops, networking gear and audio/visual equipment.

You would be a good fit with:

• 6+ years of experience in a System Administrator, Desktop Support, or Helpdesk role.
• Demonstrable experience providing hands-on, end-user technical support in a corporate environment.
• Proficiency with Windows, Linux, and macOS operating systems.
• Experience administering SAML-based SaaS Apps (Okta, Entra, Jumpcloud).
• Supporting cloud-based productivity applications (M365, Google Workspace).
• Solid understanding of basic networking concepts (TCP/IP, DHCP, DNS) and experience with basic troubleshooting of network devices (switches, firewalls, Wi-Fi).
• Experience with A/V setup and support for modern video conferencing solutions (e.g., Zoom Rooms, Google Meets, Microsoft Teams Rooms).
• Strong organizational skills and experience with inventory management and asset tracking.
• Excellent written and verbal communication skills, with a focus on customer service and clear technical documentation.
• Must be able to work on-site full-time in the College Park office.

You would be a great fit with:

• Experience in a rapidly growing environment or a technology-focused company.
• Certifications such as CompTIA Network+, CompTIA Security+, or Cisco Certified Network Associate (CCNA) are a plus.
• Demonstrable experience with Configuration Management tools (e.g., Ansible, Puppet, Chef) or scripting/automation (e.g., Python, Bash).
• Experience in a rapidly growing, technology-focused company or lab environment.
• Prior experience supporting research or engineering teams with custom lab software.
• Keep lab playbooks up to date and evaluate replacements for existing Ansible playbooks used for setting up new workstations and developer desktops. Interface with the security team to ensure compliance.
• Prior experience with IT support for M&A activity.

Location: This role will be based in our College Park office and may require after-hours support. 
Travel: Up to 10%
Job ID:  1188

The approximate base salary range for this position is $107,123  - $140,251. The total compensation package includes base, bonus, and equity.

The Senior Manager Internal Audit - IT is a strategic transformation leader responsible for the organization’s technology risk landscape. This role goes beyond traditional oversight; you will act as a technologist within the audit function, leveraging AI and data science to automate control environments while ensuring the digital backbone of our global operations—including Manufacturing and M&A integrations—remains secure, compliant, and efficient.

Individual contributor with significant leadership and cross-functional influence

Responsibilities: 

Innovation, AI & Audit Transformation

• AI-Enabled Control Testing: Architect and implement AI/Machine Learning models to transition from manual sample-based testing to 100% population testing.
• Annual SOX Audit: Lead SOX IT control design and operating effectiveness including identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment 
• Audit Workflow Automation: Leverage Generative AI and Robotic Process Automation (RPA) to automate the documentation of walkthroughs, drafting of audit reports, and the mapping of controls to regulatory frameworks.
• Continuous Control Monitoring (CCM): Partner with IT to build real-time dashboards that monitor key risk indicators (KRIs), moving the department toward a "continuous audit" model.
• Predictive Risk Insights: Use data signals to identify emerging risks in the Quote-to-Cash and Manufacturing cycles before they manifest as material weaknesses.
• Lead the development of automated risk-sensing capabilities and Key Risk Indicators (KRIs) within the ERM framework, leveraging data analytics to provide real-time assurance over tech-stack dependencies and third-party vendor ecosystems

Business Process & Systems Excellence

• Automated Control Testing: Review the automated controls within core value streams such as Quote-to-Cash (Q2C) and Procure-to-Pay (P2P) to ensure data integrity and system reliability.
• Annual SOX Audit: Lead SOX control design and operating effectiveness including ITGC’s,  identification of gaps, operating deficiencies, remediation plan and partnership with process owners to optimize control environment
• SDLC & Implementation: Perform pre- and post-implementation reviews for major system upgrades or ERP deployments to prevent "go-live" control failures.

Business Combinations & M&A Integration

• IT Due Diligence: Lead IT-focused risk assessments for business combinations, evaluating the target company’s security posture and control maturity.
• Post-Merger Integration (PMI): Direct the integration of acquired entities into the corporate Internal Control Framework (COSO), managing the risks associated with data migration and system cutovers.

SOX & Regulatory Compliance (GovCon Focus)

• ITGC Ownership: Lead the testing of IT General Controls (ITGC) and IT Application Controls (ITAC) for SOX 404 compliance.
• Regulatory Standards: Ensure IT systems meet stringent government contracting standards, including NIST 800-171, CMMC, and FAR/DFARS requirements.

You’d be a good fit with: 

Experience & Education

• Education: Bachelor’s degree in Management Information Systems (MIS), Computer Science, or Accounting.
• Experience: 8–10+ years of progressive experience in IT Audit, IT Risk, or Cyber Consulting (Big 4 or large-scale complex corporate environments preferred).

Technical & Professional Skills

• Certifications: CISA required. CISSP, CRISC, or CISM highly preferred.
• Framework Mastery: Deep understanding of COBIT, NIST, ISO 27001, and the COSO Internal Control Framework.
• Influencing Without Authority: Exceptional "executive presence" with the ability to translate complex "tech-speak" into actionable business risks for senior leadership and IIA Standards.

You’d be a great fit with:

• M&A Track Record: Proven experience managing IT control transitions during business combinations or system consolidations.
• Industry Savvy: Strong background in manufacturing or organizations engaged in government contracting.“Nice-to-haves” / desired or preferred experience
• Modern Audit Toolkit: Hands-on experience with SQL, Python, or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents). 
• Systems & Data: Proficiency in ERP systems (Netsuite/Oracle, Snowflake/DataBricks)

Location: College Park, MD
Travel: Up to 25% 
Job ID: 1383

The approximate base salary range for this position is $128,445 - $167,497. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Mask Layout Engineer on the Fab Tapeout and Validation Team. As a Senior Mask Layout Engineer, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will be the owner of full-reticle tapeouts for use in trapped-ion quantum computers, which could include both photonic and analog electronic layers. In addition, you will help develop and maintain the internal PDK and circuit layout libraries, as well as write scripts to automate the layout of masks for tapeouts. You will also have the opportunity to work closely with the photonic and ion trap design and testing teams to help develop new and game-changing quantum technology to enable scalable quantum computing, memory, and networking.

The Fab Tapeout and Validation Team is a remote-friendly team and this role can be performed remotely or in-person at IonQ’s College Park, MD or Bothell, WA campuses. 

Responsibilities:

• Conduct Python-based layout for full-reticle tapeouts with commercial foundries
• Develop and maintain internal component PCell and automated circuit layout libraries
• Interface with designers, test engineers, packaging engineers, and foundry team to define layout rules and component designs 
• Implement physical verification checks of layouts, including DRC and LVS
• Develop detailed documentation of tapeouts and lead layout reviews with other team members 
• Work with cross-functional teams to understand circuit requirements and make recommendations to improve design, layout, and test workflows

You’d be a good fit with:

• Bachelor’s degree in Photonics, Physics, Electrical Engineering, or related field, or equivalent practical experience
• Knowledge of semiconductor manufacturing processes and techniques
• Excellent programming and software skills, including development in an IDE, proficiency with version control software, shell scripting, and code documentation
• 2+ years of experience with Python-based mask layout software packages such as Luceda IPKISS, GDSFactory, or Klayout
  
  

You’d be a great fit with:

• M.S. or Ph.D. in Photonics, Physics, Electrical Engineering, or related field
• 5+ years experience in generating layout files for complex semiconductor flows with custom elements, such as MEMS, integrated photonics, or superconducting circuits
• Past ownership of full-reticle tapeouts with commercial foundries
• Experience with commercial simulation, verification, and layout environments such as Synopsys, Cadence, and Ansys
• Familiarity with photonic and/or analog electronic device principles including design, test, and fabrication
• Proficiency in physical verification including DRC, LVS, and ERC
• Experience with semiconductor and/or photonic workflows for tapeout with commercial foundries
• Excellent verbal and written communication skills
• A meticulous attention to detail and excellent track record of documenting requirements, implementation plan, and tracking progress
• Ability to work independently, prioritizing tasks and managing time effectively in a deadline-oriented environment

Location: The Fab Tapeout and Validation Team is a remote-friendly team and this role can be performed remotely or in-person at IonQ’s College Park, MD or Bothell, WA campuses. 
Travel: Up to 10%
Job ID: 1303

The approximate base salary range for this position is $110,336 - $144,459.  The total compensation package includes base, bonus, and equity.

We are looking for a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms to help lead the technical development of highly differentiated quantum solutions that will bring value to society. As a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll guide a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a technical leader in the field of fault-tolerant algorithms, you will help discover the next generation of quantum applications that will exceed state-of-the-art classical methods. You will be a core member of technical leadership in quantum algorithms, and you will drive research into new quantum algorithms and develop IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Influence the quantum applications roadmap towards fault-tolerant quantum algorithms that will make a large scientific and commercial impact by leading the origination, execution, and optimization of novel, end-to-end quantum algorithms. Guide other team members towards this goal.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches compared to NISQ and/or classical methods.
• Provide trusted expertise and leadership in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Lead technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Define, develop, and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 5 years of professional experience in the quantum computing field
• 13+ years of professional experience or an equivalent combination of education and experience
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents.
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 7+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, cybersecurity, differential equations solving, simulation of physical systems, etc. 
• Deep expertise in quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1254

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

At scale, quantum computers will be integrated into classical datacenters — combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world’s hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you’ll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

• Lead the design and development of our HPC software stack integrations
• Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
• Lead and participate in code reviews
• Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
• Mentor junior staff members; we’ll ultimately be building a team around you!
• Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You’d be a good fit with:

• Bachelor’s degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
• 13+ years experience in software engineering
• 5+ years experience of open source contributions
• 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
• Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
• Familiarity with MPI or other multiprocessing schemes
• Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
• Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
• Established experience in Linux operating system, environment, and tools

You’d be a great fit with:

• 15+ years experience in software engineering
• 10+ years experience of making open source contributions  
• 5+ years in High Performance Compute cluster management
• 2+ years experience as an open source project maintainer with an active community
• Expert-level knowledge of Fortran and/or C
• Familiarity with quantum software stacks like MQSS or OpenQSE
• Familiarity with distributed computing frameworks like Ray or Dask
• Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
• Expert analysis skills in areas like statistical testing, modeling and general optimization
• Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
• Familiarity with common machine learning frameworks like PyTorch or TensorFlow
• Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

The mission of the QPU Testing team is to improve quantum computer performance through validation of QPU (quantum processing unit) designs and verification of individual QPUs produced by the manufacturing team. We own the creation and execution of test plans that we develop with stakeholders across the Quantum Computing organization. We are looking for a Staff Physicist to join the QPU Testing team as our Scientific Validation lead. In this role, you will ensure our testing accurately captures performance characteristics which are important to the Science team. You will also serve as a trusted internal authority on physics-related test validity, rigor, and interpretation.

You will help to turn scientific questions and risk areas into concrete, executable test plans, including testing with and without ions, then communicate results, interpretation, and actionable feedback to stakeholders. This role is central to maintaining a trusted testing roadmap and ensuring tight feedback between development and testing.

Responsibilities:

• Drive creation and evolution of validation test plans, procedures, and acceptance criteria, aligned to science priorities.
• Translate scientific requirements into practical, executable test coverage and readiness standards for QPU testing platforms.
• Provide physics triage for complex, ambiguous system issues, defining next diagnostics and escalation paths.
• Execute and validate testing campaigns, including hands-on operation and troubleshooting of a trapped-ion system.
• Communicate results and recommendations clearly across scientific and cross-functional stakeholders.

You’d be a good fit with: 

• PhD in experimental atomic/AMO physics (or closely related field) and 5+ years of industry experience post-PhD.
• Hands-on experience operating a trapped-ion experiment (minimum requirement).
• Demonstrated ability to independently define next steps, prioritize work, and execute with minimal supervision.
• Strong experimental fundamentals (optics/lasers, vacuum, control systems) and comfort debugging complex experimental systems.
• Ability to translate scientific goals into test plans and acceptance criteria, and to communicate results clearly to both scientific and cross-functional stakeholders.

You’d be a great fit with:

• Deep trapped-ion background (e.g., PhD research focused on trapped-ion quantum computing and/or extensive trapped-ion apparatus experience).
• Track record owning end-to-end validation strategy (metrics to procedures to execution to reporting) for complex platforms.
• Experience working in highly collaborative, cross-disciplinary teams and influencing testing priorities across org boundaries.
• Strong Python-based experiment control and/or analysis workflows.

Location: This role is based onsite at our headquarters in College Park, MD.
Travel: 10%
Job ID: 1358

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity.

We are looking for a Staff Scientist – Fault-Tolerant Quantum Algorithms to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll be a core member of a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.

As a hands-on expert in fault-tolerant algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing quantum algorithms, core IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities: 

• Lead hands-on development of novel fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals.
• Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches as compared to NISQ and/or classical methods.
• Provide trusted expertise in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
• Drive constructive technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
• Develop and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
• Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.

You’d be a good fit with:

• PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 3 years of professional experience in the quantum computing field
• Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents
• Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
• Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization 
• Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.

You’d be a great fit with: 

• 5+ years of professional work experience developing end-to-end solutions for realistic industry problems such as computer-aided engineering, cybersecurity, chemistry, etc.
• Experience working with quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
• Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
• Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
• Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID:  1058

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, and equity.

Location: This role is based onsite at our headquarters in College Park, MD.
Travel: 10% domestic and international
Job ID: 1490 

The Role: 

We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you will be part of the new Quantum Applications team based in College Park, Maryland , you will be a key link to the University of Maryland ecosystem, serving as a bridge to collaborate with world-class faculty and researchers both at UMD and at institutions globally.

You will operate at the intersection of two frontiers: pushing the boundaries of cutting-edge academic research on latest quantum hardwares and developing the next generation of quantum algorithms poised to solve real-world problems better than state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities:

• Practical Algorithm Innovation: Lead the hands-on development of Fault-Tolerant Application-Scale Quantum (FASQ) algorithms designed to scale for real-world impact. You will emphasize "hardware-aware" FASQ, ensuring research is rooted in the constraints of practical early fault-tolerant systems to drive scientific and commercial breakthroughs.
• Full-Stack & Hardware-Centric Optimization: Work directly with quantum compiler, cloud, and hardware engineering teams to build highly optimized hybrid workflows specifically tuned for IonQ’s trapped-ion architecture. Your goal is to make the best use of available quantum hardware for proof-of-principle demonstrations and experiments, moving beyond abstract error correction theory.
• Rigorous Algorithm Analysis: Conduct deep technical evaluations comparing quantum algorithms of interest against relevant state-of-the-art classical algorithms. You will identify the specific performance characteristics and scaling behaviors that define the boundary between classical and quantum capabilities.
• Academic Strategy & Advocacy: Act as a primary advocate for IonQ’s academic presence by actively engaging with the UMD faculties. You will guide, propose, and initiate impactful academic research projects that carry significant industrial weight and commercial potential.
• IP & External Influence: Build a robust portfolio of foundational IP and high-impact-factor, peer-reviewed publications. You will represent IonQ’s technical vision at major conferences and in high-level discussions with external stakeholders, emphasizing our path to practical, application-scale quantum advantage.

Requirements:

• Advanced Academic & Professional Background: Doctorate degree in Physics, Computer Science, Mathematics, Chemistry, or another STEM domain, plus 3+ years of professional work experience in the quantum computing field.
• FASQ & Hardware Expertise: Demonstrated expertise in Fault-Tolerant Application-Scale Quantum (FASQ) algorithms designed for scalability and practical implementation. You possess a deep familiarity with the operation and physical principles of trapped-ion quantum computers.
• Error Mitigation & Compilation: Proficient in common error mitigation techniques and advanced quantum compilation strategies specifically tuned for hardware-level performance.
• Proven Research Track Record: Hands-on experience developing novel algorithms for research, supported by a strong portfolio of peer-reviewed publications and contributions to production-grade codebases.
• Multilevel Communication: The ability to translate complex technical concepts across all levels, from the academic research community to business stakeholders and PhD-level peers.
• Technical Stack & Workflow Proficiency: Demonstrated proficiency in Python, Qiskit (or similar quantum SDKs), and High-Performance Computing (HPC) tools—including parallel computing and utilizing computer clusters. 

Preferred Qualifications:

• Extended Professional Leadership: 5+ years of professional work experience developing end-to-end solutions for realistic industry problems.
• Proven Practical Impact: Demonstrated experience with applying commercial tools to solve problem sets of practical relevance.
• FASQ Community Recognition: Active participant and recognized contributor in the Fault-Tolerant Application-Scale Quantum (FASQ) algorithm community, including the development of foundational tools such as libraries, simulators, or compilers.
• High-Value Intellectual Property: An active portfolio consisting of invited talks, software repositories, licenses, and/or patents that demonstrate a respected "voice" in the global quantum ecosystem.
• Collaborative Solution Delivery: Success working directly with internal and external partners to define and deliver technical solutions.
• Advanced Communication: Excellent collaboration and communication skills, with a proven ability to bridge the gap between deep academic research and commercial industrial impact.
• Proficient in the responsible use of AI tools to accelerate development, documentation, and research while maintaining strict technical accuracy and security standards.

The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

What You’ll be Owning:

• We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

• Bachelor’s Degree with 10 years of relevant experience
• Associates degree with 12 years of relevant experience
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (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, or life) may be considered if it included a concentration of coursework (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 requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• 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)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
• Active TS/SCI w/ poly

What Would Be Nice to Have:

• Employ some combination (2 or more) of the following skill 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 in Government 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 Government collection, processing, storage and analytic capabilities and limitations.

#LI-SM1

What Impact You'll Have

• We are actively searching for Data Scientists, located in Maryland, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education.
• The ideal candidate should possess expertise in AI/ML, proficiency in Python, and hands-on experience with deep learning frameworks such as PyTorch and TensorFlow, with an added advantage if they have cyber knowledge. This role combines artificial intelligence and machine learning skills with a strong foundation in programming and cybersecurity.

What You'll be Owning

• Foundations: (Mathematical, Computational, Statistical) 2. 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 in NSA/CSS 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 NSA/CSS collection, processing, storage and analytic capabilities and limitations.

What You Must Have

• Bachelor’s Degree with 3 years of relevant experience or an Associates degree with 5 years of relevant experience  
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (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, or life) may be considered if it included a concentration of coursework (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 requirements, or upper-level math courses designated as elementary or basic do not count.  Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
• 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)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. 
• Active TS/SCI with a polygraph 

#LI-SM1

Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.

Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.

Forward Networks is looking for a Customer Success Engineer.

• Do want to create a category and help build a special company?
• Join a company that has been in market 5+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable.
• We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. 

What you’ll do:

As a Customer Success Engineer for our Federal team, you will be responsible for providing world class post-sales technical leadership to our client base.

Responsibilities:

• Providing advice and guidance as the Forward Networks subject matter expert to ensure successful ongoing usage and adoption of our technologies
• Taking ownership of post-sales technical issues, working with cross-functional teams to document problem resolution steps and troubleshooting procedures
• Walking customers through the various stages of adoption with Forward Networks Platform
• Walking directly with our internal Product Management, Engineering, Sales and Marketing teams.
• Some travel to customer locations (<10%)

Requirements:

• B.S. Computer Science or equivalent educational experience
• TS/SCI with a CI Clearance Required
• 5+ years of customer facing experience in a post-sales engineer role for a networking company, relevant software vendor, or as a network engineer for a large enterprise, service provider or Governmental agencies

Experience:

• Strong understanding of Networking and Security fundamentals
• Experience in working with multiple Network vendors (e.g. A10, Arista, Cisco, F5, Fortinet, Juniper, Palo Alto Networks etc.)
• Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques; Superior presentation skills
• Excellent analytical & problem-solving skills, combined with the ability to provide quick resolution to problems
• Demonstrable success in thinking strategically, executing tactically while providing consistent and high levels of customer satisfaction and retention in a fast-paced environment 

Highly Desired:

• One or more of the following certificates: CCIE, JNCIE or VCDX
• Experience in working for a startup company
• Working knowledge of API driven workflows and scripting languages (Python, bash, jq, graphql, etc)

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary +bonus is expected to be between $260,000/yr to $290,000/yr. The offered compensation may also include stock.

Mindgrub Technologies is a digital agency specializing in digital transformation for established enterprises and growth-stage companies. We build complex, deeply integrated applications that power critical experiences for enterprises and startups alike. Our engineering teams work across web, mobile, and cloud platforms, delivering solutions that range from multi-million dollar platform modernizations to fast-moving, high-impact digital builds.

The Opportunity

Mindgrub is seeking a Senior Director of Software Engineering to lead and scale our entire engineering organization. This is a senior leadership role with accountability for engineering delivery, performance, and growth across all client engagements.

This role operates as a Director-of-Directors position. You will lead Directors of Web, Mobile, and Cloud Engineering while partnering closely with peer leaders across Project Management, Quality Assurance, Product Strategy, Design, and Managed Services Operations. You will report to the Vice President of Professional Services and play a critical role in shaping how Mindgrub delivers high-quality software at scale.

You will own engineering delivery from early sales solutioning through successful project launch and execution. As Mindgrub continues to grow, this leader will also help expand our technical solution offerings, particularly in AI-enabled delivery, cloud platforms, and emerging technologies.

This role is ideal for a senior engineering leader with deep experience in agency or consultancy environments who can balance technical excellence, delivery accountability, people leadership, and business partnership.

What Success Looks Like

• A healthy, accountable, and engaged engineering culture characterized by trust, clarity, ownership, and continuous improvement
• Improved client satisfaction driven by consistent execution and technical leadership
• Predictable, high-quality delivery with reduced estimate-to-actual variance
• Healthy utilization and staffing models that support both growth and team sustainability
• Strong Director-level ownership with minimal delivery escalation
• Engineering viewed internally and externally as a trusted partner in growth and delivery

Responsibilities

• Engineering Leadership
  • Accountable for the performance, quality, and scalability of the Mindgrub engineering organization
  • Lead and develop a multi-disciplinary engineering organization of 40+ engineers across web, mobile, and cloud 
  • Manage a blended delivery model including full-time staff, contractors, and delivery partners
  • Embrace, mentor, and grow engineering directors and managers
  • Drive engagement, retention, and career growth within the engineering organization
  • Establish and maintain engineering standards and best practices that scale
    
    
• Engineering Performance & Enablement
  • Own engineering productivity and efficiency outcomes
  • Partner with Product, Design, QA, and Project Management to influence performance across the delivery organization
  • Scale human-centered engineering performance through insights-based action and enablement
  • Improve estimation accuracy and reduce delivery variance on projects
  • Lead the identification and implementation of improvements to tools, processes, and workflows that increase team effectiveness
  • Leverage AI and automation pragmatically to improve delivery quality, velocity, and operational efficiency
  • Establish metrics and feedback loops that drive continuous improvement
    
    
• Solution Development & Client Engagement
  • Partner with sales and account teams from early opportunity identification through project launch
  • Lead technical solutioning for complex enterprise engagements, including strategy, architecture, technical plans, and resource plans
  • Identify opportunities to expand Mindgrub's solution offerings, particularly in AI, cloud, and emerging technologies
  • Serve as a trusted technical advisor to clients, translating business requirements into scalable technical solutions
  • Develop accurate estimates and staffing models for projects of varying size and complexity
    
    
• Delivery Excellence
  • Own accountability for engineering delivery outcomes: high-quality products delivered on time and within budget
  • Set the standard for delivery quality, predictability, and accountability
  • Partner with Product, Design, QA, and Project Management to drive cross-functional alignment and shared accountability
  • Reduce defect rates and rework through proactive quality practices and QA collaboration
  • Guide teams through complex technical challenges; provide architectural oversight and hands-on guidance when needed
  • Balance competing priorities across multiple concurrent client engagements
    
    
• Business Growth & Innovation
  • Scale engineering capacity in alignment with Mindgrub's revenue growth and demand
  • Stay current on industry trends and emerging technologies; bring forward opportunities to differentiate Mindgrub in the market
  • Contribute to strategic planning and long-term roadmap for engineering capabilities
  • Be a thought leader internally and externally

We recognize this is a broad role, and you don’t need to check every box to apply. If you see yourself succeeding quickly in some aspects of the role and growing into others, we encourage you to apply. Let us know in your cover letter how your experience aligns, where you’d value support, and which parts of this role you’re most excited about and see as opportunities to make an immediate impact.

Requirements

• Must Have
  • 15+ years of software engineering experience with 10+ progressive leadership responsibility
  • Experience leading engineering organizations of 50+ people, including managing managers
  • Experience managing contractors and delivery partners as part of a blended delivery model
  • Consulting, agency, or professional services background building large, enterprise, deeply integrated applications
  • Proven ability to develop end-to-end solutioning: strategy, architecture, technical plans, and resource plans
  • Experience managing multi-disciplinary projects across a range of sizes and complexity levels
  • Demonstrated ability to engage at a principal or architect level in technical discussions and decision making
  • Technology-agnostic mindset with ability to lead across diverse stacks (we work in .NET, JavaScript/React, Python, cloud platforms, and mobile)
  • Strong client-facing skills with experience engaging enterprise stakeholders from sales through delivery
  • Ability to work East Coast hours
  • Ability to travel to our Baltimore HQ and other locations regularly (~15%)
    
    
• Should Have
  • Hands-on experience in AI technologies, including building AI-powered tech, integrating AI into tech stacks, and leveraging AI to improve how work gets done
  • Experience scaling or launching new service offerings within an agency or consultancy
  • Financial acumen, including understanding of utilization, margin, delivery cost, and the financial implications of staffing and delivery decisions
  • Experience executing dynamic resource planning across multiple concurrent projects, including frequent reprioritization

Compensation

• $160,000 - $180,000 USD
• Base compensation will be determined based on a variety of factors including skills, education, certifications, and overall experience for this role.

The Perks of Being a Full Time Mindgrubber 

• Work remotely or in the office - your choice! 
• Excellent benefits package that includes medical, dental, vision, and 401(k)
• Employer-paid Short-Term Disability (STD)
• Paid Time Off available when you start
• Free access to Premium Calm app subscription
• Annual training budget dedicated to your professional development
• A variety of fun Mindgrub hosted events and Committees to join (e.g. Adventure Club, Fun Committee, DEI Committee, Mindgrub Meet Ups, and more!)

Inclusivity without exception | At Mindgrub we value and encourage mutual respect and acceptance. We know we all have something to contribute. We work every day to ensure all are welcome, and that we treat all people with fairness and dignity.

No phone calls or recruiters, please.

#LI-Remote

About Us

#LI-DP1

• As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.
• The Database Engineer will provide technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis.
• The Database Engineer will develop or maintain database structure to fit into the overall architecture of the system.
• The Database Engineer will create new workflows to take over existing processes as needed as well as provide break/fix requests or updates.
• The Database Engineer will lead development of database structures, database parser software, and database loading software.
• The Database Engineer will support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.

• Active TS/SCI with polygraph clearance. Most recent poly in the last 6 years.
• 5-10 years of related technical experience addition to related bachelor's degree or 10-15 years’ experience in lieu of degree.
• •Database Engineering experience using MongoDB, including:
• deployment and management of the database itself
• debugging of optimization issues
• scaling

• Python, Django or Flask
• ReST Endpoint Development
• Micro-Service Model
• Swagger
• AWS, C2S or other cloud experience•Docker
• Visual Studio Code or similar IDEs, JSON and/or XML serialization
• Jira, Confluence
• Git version control
• Experience working in Agile environment

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