{"id":2744032,"url":"https://alion.io/job/dover-networks-software-engineer-ai-enabled-vulnerability-research-swe3-d-26-0226","title":"Software Engineer – AI-Enabled Vulnerability Research (SWE3) [D.26.0226]","company":{"id":3854774,"name":"Dover Networks","domain":"dovernetworks.com","url":"https://alion.io/company/dover-networks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":77,"open_postings":15,"ghost_share":0,"stale_share":0.933,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":260000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"C++","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Qdrant","optional":true},{"name":"RAG","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-16T18:29:26Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-04T20:51:55Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying. We are not sponsoring or processing clearances for this position. Candidates who are seeking to obtain a clearance do not meet the minimum requirements.\nSalary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions\nDescription: We are seeking an experienced Software Engineer to design, develop, and integrate AI-enabled capabilities supporting computer network exploitation (CNE) and vulnerability research (VR). This role combines strong software engineering fundamentals with practical knowledge of vulnerability research, program analysis, and AI-assisted research workflows. We are particularly interested in candidates with hands-on experience conducting dynamic vulnerability research in isolated sandbox environments. You will independently own complex features and subsystems, translate mission needs into technical designs, and deliver reliable software from prototype through deployment. You will develop agentic AI harnesses that connect large language models, research tools, instrumented execution environments, and backend services to support repeatable, evidence-driven analysis. Working with vulnerability researchers, AI/ML engineers, and mission stakeholders, you will make sound architectural decisions, evaluate AI-generated findings, and improve the quality and effectiveness of research workflows. This position also includes mentoring engineers and contributing to technical direction and engineering standards.\nResponsibilities:\nDesign, develop, and maintain AI-enabled software and research tooling supporting CNE and vulnerability research workflows.\nOwn the design and delivery of complex features and subsystems, including requirements refinement, implementation, testing, deployment, and sustainment.\nDevelop and integrate agentic AI harnesses that orchestrate research tools, manage execution state, collect evidence, and evaluate results.\nBuild and extend sandbox-based dynamic analysis capabilities for executing and observing software, capturing runtime behavior, and reproducing suspected vulnerabilities.\nIntegrate debugging, instrumentation, fuzzing, crash analysis, and related research tools into automated or researcher-directed workflows.\nEstablish repeatable evaluations that measure finding validity, reproducibility, false-positive rates, and the usefulness of AI-assisted analysis.\nDevelop backend services, APIs, data pipelines, and user interfaces that make research capabilities accessible and results traceable.\nTroubleshoot complex issues across application code, AI integrations, research tooling, and execution environments; improve performance, reliability, and observability.\nLead design and code reviews within assigned areas, document technical decisions, mentor engineers, and communicate progress, risks, and tradeoffs to stakeholders.\nSkills Requirements:\nDemonstrated experience independently designing, implementing, testing, and delivering complex software features or subsystems, with sound judgment about architecture, maintainability, and operational requirements.\nProficiency in Python and experience building maintainable, tested software using modular design and appropriate object-oriented programming practices.\nDemonstrated expertise in AI-enabled CNE or vulnerability research, including integrating AI capabilities into research workflows and critically evaluating their outputs.\nExperience with vulnerability research or software analysis techniques, such as reverse engineering, debugging, dynamic analysis, fuzzing, or crash triage.\nWorking knowledge of isolated execution environments and dynamic analysis concepts, including runtime instrumentation, execution tracing, environment reproducibility, and evidence collection.\nExperience developing LLM applications or agentic systems that use external tools, structured outputs, workflow state, error handling, and evaluation.\nExperience developing backend services and REST APIs using frameworks such as FastAPI, Flask, or Django, and working with relational databases such as PostgreSQL.\nExperience working in Linux environments, with an understanding of operating system behavior, processes, memory, and networking relevant to software analysis.\nExperience using Git, automated testing, CI/CD, and code review to deliver reliable software collaboratively.\nAbility to translate ambiguous requirements into actionable technical work, explain technical tradeoffs, and provide effective guidance to other engineers.\nNice to Haves:\nHands-on experience conducting dynamic vulnerability research in sandbox environments, including configuring instrumented targets, controlling execution, capturing runtime evidence, and reproducing findings across clean environment resets.\nExperience building AI agents that interact with debuggers, fuzzers, emulators, or other analysis tools within controlled research environments.\nExperience with virtualization, emulation, snapshots, and automated provisioning of repeatable analysis environments.\nExperience with C/C++, assembly, binary analysis, memory corruption analysis, or operating system internals.\nExperience designing evaluation datasets and benchmarks for AI-assisted vulnerability discovery, triage, or validation.\nExperience with retrieval-augmented generation, vector databases, or search platforms such as Elasticsearch, Qdrant, or ChromaDB.\nExperience building researcher-facing interfaces using TypeScript, React, or comparable technologies.\nContributions to vulnerability research, security tooling, open-source projects, or relevant technical publications.\nYOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.","description_format":"text","description_chars":5784,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Security","Security Operations"],"lifecycle":[{"event":"open","at":"2026-10-16T21:50:38Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely 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