Earth Is Our Runway
Shield AI Logo

Shield AI

Senior Staff Software Engineer, Autonomous Pilot Integration – Emerging Domains (R5398)

Posted 7 Days Ago
Be an Early Applicant
In-Office
Dallas, TX
234K-351K Annually
Senior level
In-Office
Dallas, TX
234K-351K Annually
Senior level
Lead technical strategy and engineering for autonomy on new platforms (space, maritime, contested logistics). Define architecture, guide development and integration, mentor senior engineers, support testing and deployments, resolve complex hardware/software integration issues, and transition R&D into operational programs.
The summary above was generated by AI
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contested logistics (unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK—selectively leveraging existing Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. 

In this role, you'll define the technical direction for Emerging Domains, guiding autonomy strategy across multiple new platforms and mission areas while helping transform early-stage R&D efforts into scalable, long-term programs. You'll solve the organization's most complex technical challenges, influence engineering strategy across organizations, and partner with engineering leadership, platform teams, and customer stakeholders to shape the future of Shield AI's next generation of autonomy portfolios. 

What You'll Do:

    Stand Up New Programs – Define the technical strategy for establishing autonomy on entirely new platforms and mission areas, determining what should be built, reused, or extended from existing Shield AI capabilities. 

    Navigate Ambiguity & Shifting Priorities – Lead engineering through evolving customer needs, changing priorities, and uncertain technical landscapes while maintaining execution and long-term technical vision. 

    Technical Strategy & Portfolio Leadership – Define long-term technical direction across Emerging Domains, establishing architecture, integration strategies, and engineering patterns that enable successful transition from R&D to operational programs. 

    Develop & Field Autonomy – Guide development and deployment of autonomy capabilities across space, maritime, contested logistics, and future emerging platforms while ensuring successful operational delivery. 

    Platform Team Partnerships – Build deep technical partnerships with platform organizations and influence interface evolution, integration strategy, and long-term platform architecture. 

    Collaboration Across Teams & Partners – Influence architecture across Autonomy Capabilities, Perception, GCS, platform teams, engineering leadership, customer organizations, and external partners. 

    Design & Documentation – Lead architecture reviews, engineering standards, ICDs, and technical best practices across multiple organizations. 

    Pre-deployment Preparation – Guide release strategy, mission validation, and operational readiness across multiple emerging programs. 

    On-site Test & Mission Support – Provide senior technical leadership during critical demonstrations, operational exercises, and customer events where deep systems expertise is required. 

    Hardware/Software Debugging – Lead resolution of the organization's most challenging autonomy integration problems spanning software, hardware, embedded systems, and platform interfaces. 

    Mission Data & Debrief Support – Drive organizational learning from operational testing and shape future technical investments based on mission outcomes. 

    Continuous Improvement – Drive long-term improvements to engineering processes, developer experience, testing infrastructure, and integration workflows across the Emerging Domains portfolio. 

    C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability and guide adoption of platform-appropriate open-systems standards across emerging programs. 

    Grow R&D into Programs – Partner with engineering leadership and customers to evolve successful R&D efforts into scalable, long-term programs while helping shape technical strategy for future portfolios. 

    Hiring & Developing Technical Talent – Help define the technical hiring bar for senior engineering roles, mentor future technical leaders, and partner with managers to grow organizational capability. 

    Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. 

Required Qualifications:

    • BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience.  

    • Expert-level C++ and Linux systems development experience.  

    • Demonstrated experience defining technical strategy across multiple programs or engineering organizations.  

    • Proven track record solving highly complex systems integration challenges in ambiguous environments.  

    • Experience mentoring senior engineers and influencing engineering direction without formal authority.  

    • Ability to obtain a SECRET clearance.  

Preferred Qualifications:

    • Experience leading first-of-kind autonomy or advanced R&D efforts.  

    • Experience across multiple autonomy domains (air, maritime, space, ground, or robotics).  

    • Experience transitioning prototypes into operational systems.  

    • Experience with government R&D programs and defense customers.  

    • Experience shaping engineering practices across an organization.  

    • Experience with UCI, OMS, STANAG 4586, or other defense interoperability standards. 

#LI-ED1
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Similar Jobs at Shield AI

12 Minutes Ago
In-Office
144K-216K Annually
Senior level
144K-216K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead and scale the Aircraft Division Customer Success organization for V-BAT and X-BAT customers: build team and operating model, run the Critical Accounts Program, ensure mission readiness and product adoption, advocate for customers, coordinate cross-functional recovery, and provide executive reporting and metrics.
Top Skills: ConfluenceGainsightJIRAPower BISalesforceTableau
12 Hours Ago
In-Office
150K-230K Annually
Senior level
150K-230K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, implement, verify, and debug FPGA-based communication modules for UAV avionics. Perform synthesis, timing closure, bitstream generation, and hardware bring-up. Integrate FPGAs with system architecture, optimize for latency/reliability, collaborate across hardware/firmware/software teams, participate in design reviews, and maintain documentation.
Top Skills: Amd/XilinxAxi-StreamAxi4Ci/CdEthernetFpgaGitMemory-Mapped InterfacesNetwork StackSystemverilogTclVhdlVivado
15 Hours Ago
In-Office
116K-173K Annually
Senior level
116K-173K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design, validation, and deployment of advanced electrical hardware test systems for UAVs. Architect PCBs and test interfaces for power electronics, RF, and communications; develop automated Python test sequences; design test fixtures and integrate PLCs, relays, and harnessing; run HASS/ESS/HALT; drive DFT reviews; and mentor junior engineers.
Top Skills: AltiumCatiaCommunicationsEagleEssHaltHassKicadNxPcbPcbaPlcPower ElectronicsPythonRelaysRfSolidworksTest Automation

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account