Software Systems Engineer – ISR Systems – Security Clearance Eligible Required
An established and rapidly growing defense technology organization is seeking a Software Systems Engineer to lead the architecture, design, development, and integration of advanced Intelligence, Surveillance, and Reconnaissance (ISR) software systems.
This is a senior engineering position requiring deep technical expertise, lifecycle ownership, and strong leadership capability. The successful candidate will play a key role in delivering mission-critical ISR capabilities deployed in demanding operational environments.
The Role
You will take ownership of software system architecture and integration across the full program lifecycle, from requirements definition through integration, validation, and deployment.
This position requires a strong background in embedded and distributed systems, experience working in real-time environments, and the ability to technically direct multi-disciplinary engineering efforts.
Key Responsibilities
Lead software and system architecture, development, integration, and test efforts across ISR programs
Define, analyze, and document customer requirements and translate them into executable technical solutions
Support system integration, performance analysis, and flight testing activities
Develop system-level documentation including requirements specifications, verification plans, and test procedures
Prepare and present materials for technical reviews including SRR, PDR, CDR, TRR, and customer interchange meetings
Provide technical leadership and mentorship to engineering teams
Support capture efforts, technical proposals, and customer engagements
Make critical technical decisions that shape software architecture and product direction
Interface directly with systems engineers, program managers, and external customers
Required Qualifications
Bachelor’s degree in Engineering or Computer Science from an accredited institution
10 to 15 years of experience in software systems engineering within defense, aerospace, or other mission-critical domains
Strong expertise in Java, C, and C++
Deep understanding of object-oriented design principles and distributed computing environments
Experience with embedded real-time software systems
Knowledge of concurrent programming, networking protocols, routing, and client/server architectures
Experience maintaining and debugging deployed software systems
Strong understanding of operating systems, compilers, development tools, and database systems
Proven leadership experience directing engineering teams through full project lifecycles
Excellent written and verbal communication skills
Ability to travel up to 25 percent
U.S. Citizenship required with ability to obtain and maintain appropriate U.S. Security Clearance
Preferred Qualifications
Experience with secure programming, encryption, and information assurance
Familiarity with ISR-related frameworks and open standards environments
Experience with GPU acceleration or CUDA-based processing
Experience supporting safety-critical or classified programs
Current DoD Top Secret SCI clearance
Master’s degree in Computer Science or Engineering
Locations: Los Angeles, CA | Washington, D.C. | Seattle, WA Salary Range: $165,000 – $250,000 USD
EVONA is partnering with a leading defense, national security, and space technology company to hire a Senior AI Engineer – Agentic Platform Lead.
This organization builds mission-critical systems that operate at the intersection of advanced AI, complex hardware, and real-world constraints. Their work directly supports national security, space infrastructure, and next-generation aerospace systems.
This is a senior, hands-on technical leadership role for an engineer who thrives in ambiguity, moves fast, and uses AI as leverage to eliminate friction in complex engineering workflows.
The Role
Our client is seeking a Senior AI Engineer – Agentic Platform Lead to serve as a senior technical leader within a specialized Agentic Computational Engineering (ACE) team.
You will architect and build a multi-agent AI platform that enables autonomous agents to design complex hardware systems end-to-end. You will own the technical roadmap for this platform, lead a small high-caliber team, and work closely with domain experts across propulsion, electronics, and manufacturing.
This role is ideal for a builder who is excited about turning cutting-edge AI research into real, deployable industrial capability.
What You’ll Build
A scalable agentic AI platform supporting autonomous hardware design
Distributed orchestration systems coordinating large numbers of AI agents
Secure execution environments where agents run code, simulations, and analyses
Memory, retrieval, and provenance systems (RAG, vector databases, decision logs)
High-performance, observable systems operating at scale
Key Responsibilities
Architect and own the full-stack agentic AI platform, including orchestration, runtimes, and services
Design distributed systems (orchestrator–worker, swarms, event-driven architectures) for agent coordination
Build secure execution layers integrating internal tools, simulations, and data sources
Implement memory, context, and decision-tracking systems for agent reasoning and traceability
Profile and optimize performance for latency, reliability, and observability
Lead and mentor a small team of engineers and technical contributors
Partner with engineering domain experts to translate real workflows into scalable agentic capabilities
Influence long-term technical strategy for agentic AI across the organization
Required Qualifications
Master’s + 5 years, or PhD + 3 years in Computer Science, Physics, Mathematics, or equivalent experience
5+ years building production-grade backend or distributed systems in mission-critical environments
Strong experience with Python, Go, or Rust and modern microservice architectures
Hands-on experience with LLM-based systems and agent frameworks (e.g., LangGraph, AutoGen, or custom runtimes)
Demonstrated AI-first workflow, using LLMs and agents to materially accelerate development
Proven technical leadership in fast-moving, ambiguous environments
Preferred Qualifications
Background in Mechanical, Aerospace, Electrical Engineering, Physics, or Applied Mathematics
Experience integrating AI agents with engineering tools (CAD/CAE, simulation, manufacturing platforms)
Experience with observability stacks (logging, tracing, metrics)
Experience building safety-critical or mission-critical platforms
Open-source contributions or personal projects demonstrating deep system-building expertise
Compensation & Benefits
Competitive base salary: $165,000 – $250,000 USD
Annual bonus potential
Comprehensive health, retirement, and wellness benefits
Chief Executive Officer Location: California (Hybrid) Reports to: Board of Directors Stage: Post-Series A, Scaling Growth Phase
About the Company
Our client is a venture-backed robotics and AI company at a pivotal inflection point. The business has developed a category-leading autonomous mobile robot (AMR) platform that combines advanced AI with human-centric design. This solution is already deployed with global enterprises and is delivering measurable productivity gains and disruptive unit economics.
With a strong technology foundation, proven customer adoption, and significant growth potential across logistics, healthcare, automotive, and industrial sectors, the company is now focused on capital strategy and commercial scaling.
The Role
We are seeking a commercially-driven, visionary Chief Executive Officer (CEO) to lead the company through its next stage of growth. This individual will take ownership of fundraising, commercial expansion, and long-term strategic leadership, positioning the company as a category-defining automation leader in one of the world’s fastest-growing sectors.
Key Responsibilities
Fundraising & Capital Strategy
Lead upcoming growth funding rounds
Develop and execute long-term capital plans to support manufacturing and global deployments.
Commercial Growth
Scale enterprise sales, channel, and partnership strategies.
Drive adoption with global enterprise customers and expand into adjacent verticals.
Build and lead a high-performing commercial function across sales, marketing, and customer success.
Strategy & Operations
Define and deliver the long-term vision for automation leadership across industries.
Balance hardware and software revenue models (robotics-as-a-service, recurring revenue).
Drive operational excellence across supply chain, sales, and customer delivery.
Culture & Leadership
Lead a world-class technical team within a collaborative, customer-centric culture.
Act as the external face of the company with investors, customers, and partners.
Build on a strong engineering foundation to scale into a global commercial business.
Candidate Profile
Experience
Proven track record of raising $100M+ in capital within hardware, robotics, deep tech, or enterprise technology.
Executive experience as CEO, President, COO, or GM with full P&L responsibility.
Demonstrated success scaling hardware + software businesses, ideally within logistics, supply chain, or automation.
Experience leading complex enterprise sales cycles (6–12 months).
Background working with or selling into system integrators, supply chain operators, or enterprise customers.
Attributes
Highly commercial, thrives on building relationships and closing enterprise deals.
Visionary leader with the ability to inspire teams, customers, and investors.
Strategic operator with strong financial acumen and capital discipline.
Culturally adept at scaling world-class technical organizations without losing agility.
Why Apply?
Massive Market Opportunity – Logistics automation is a trillion-dollar global industry.
Proven Product-Market Fit – Validated deployments with global enterprise customers.
World-Class Team – Backed by leading investors and a highly respected technical founding team.
Disruptive Economics – Category-leading product with unmatched ROI.
Inflection Point – Product is ready, customers are paying, and the business is primed for scale.
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