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Temporary Nvidia Autonomous Driving Jobs in Washington

Shield AI

Chief Engineer, Autonomy (R4614)

Washington, DC · On-site

$200K - $300K/yr

... to large autonomous collaborative platforms. This role is part of the Hivemind Solutions ... Excellent leadership skills, driving a team of 6-20 engineers $200,319 - $300,479 a year #LI-DM1 ...

Armada

Senior Customer Engineer, Federal

Washington, DC · On-site +1

$118K - $162K/yr

... NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI ... Working at Armada means taking ownership, driving autonomy, and delivering impact. You'll tackle ...

Armada

Senior Product Manager, Federal

Washington, DC · Remote

$143K - $189K/yr

... NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI ... Working at Armada means taking ownership, driving autonomy, and delivering impact. You'll tackle ...

Armada

Senior Product Manager, Federal

Washington, DC · On-site +1

$143K - $189K/yr

... NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI ... Working at Armada means taking ownership, driving autonomy, and delivering impact. You'll tackle ...

Hot Dip Galvanizing Plant

Be Seen First

Plant Manager - Hot-Dip Galvanizing Operations

Washington, DC · On-site

$120K - $170K/yr

Full relocation package & temporary housing allowance available Are you an operational leader with ... Demonstrated success driving performance across safety metrics (TRIR), operational throughput, and ...

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Sonar

SLED Account Executive

Washington, DC · On-site

Sonar is driving the future of agent-centric software development. As the leader in AI code ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

Sonar

SLED Account Executive

Washington, DC

Sonar is driving the future of agent-centric software development. As the leader in AI code ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

Sonar

SLED Account Executive

Washington, DC · On-site

Sonar is driving the future of agent-centric software development. As the leader in AI code ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...

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All JobsNvidia Autonomous Driving JobsTemporary Nvidia Autonomous Driving JobsTemporary Nvidia Autonomous Driving Jobs in Washington

Temporary Nvidia Autonomous Driving information

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.
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Temporary Nvidia Autonomous Driving jobs near you

Staff Software Engineer, Autonomous Pilot Integration - Expeditionary (R5208)

Shield AI

Washington, DC • On-site

$195K - $292K/yr

Full-time

Posted 16 days ago

Job description

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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 expeditionary platforms builds autonomy solutions for V-BAT - an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware - for U.S. and international defense customers. 

 
In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, mission autonomy, and operational deployment. You'll own some of the team's most challenging technical problems-from defining flight-autonomy interfaces and integrating advanced payloads to driving mission readiness for customer releases. You'll influence technical direction across multiple subsystems while partnering closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), feature crews, and customer stakeholders. 

You'll combine deep technical expertise with systems thinking to drive successful integration across software, hardware, and operations while mentoring engineers and improving engineering practices across the Expeditionary portfolio. 

What You'll Do:

Lead Technical Delivery - Lead the technical execution of complex autonomy capabilities from architecture through field deployment, coordinating work across multiple engineering teams. 

Develop & Field Autonomy - Drive integration of mission autonomy, payloads, flight-control interfaces, executive autonomy, and multi-agent behaviors onto V-BAT and X-BAT. 

Aircraft Team Partnership - Serve as a primary technical partner to the Aircraft team, defining integration approaches, resolving interface issues, and ensuring mission readiness. 

Cross-Team Technical Leadership - Partner across Aircraft, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), and feature crews to solve complex systems integration challenges. 

Systems Architecture & Integration - Influence architecture, interface design, and integration strategy across multiple subsystems. 

Design & Engineering Excellence - Lead design reviews, contribute to ICDs, mentor engineers, and improve engineering rigor. 

Mission Readiness & Field Support - Drive release readiness while supporting flight tests, customer demonstrations, and operational deployments. 

Continuous Improvement - Improve integration workflows, testing infrastructure, and engineering productivity. 

C2 Interoperability & Standards - Drive implementation of GCS and C2 interfaces using common open-systems standards. 

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 experience.  

  • 7+ years of relevant experience.  

  • Expert C++ and Linux development experience.  

  • Experience leading complex autonomy or embedded software integration efforts.  

  • Experience influencing technical direction across multiple engineering teams.  

  • Experience supporting operational test events or customer deployments.  

  • Ability to obtain a SECRET clearance. 

Preferred Qualifications:

  • Experience with Group 3 UAS or VTOL aircraft.  

  • Experience with custom autopilot integration.  

  • EO/IR or ViDAR integration.  

  • Long-endurance ISR missions.  

  • Docker, ARM embedded systems, and CI/CD experience.  

  • Experience mentoring engineers and leading technical initiatives. 

$195,200 - $292,800 a year
#LI-ED1
#LD

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.
 
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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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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