Robotics middleware jobs

Staff Field Solutions Engineer

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Nov 2, 2026

Open

San Diego, California, United States
Full-time · Mid
7+ years

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Staff Field Solutions Engineer

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Nov 2, 2026

Open

San Diego, California, United States
Full-time · Mid
7+ years

Apply with Referso

Staff Field Solutions Engineer

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Sep 29, 2026

Open

Melbourne, Victoria, Australia
7+ years

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Field Solutions Engineer based in Melbourne, Australia to support technical sales, customer engagements, demonstrations, and capture activities focused on advanced simulation, synthetic environments, image generation systems, and AI-enabled mission systems.

Responsibilities

Serve as a customer-facing technical expert for Shield AI simulation, synthetic environment, and AI-enabled mission system capabilities.
Support customer discovery, technical briefings, demonstrations, technical interchange meetings, RFIs, RFPs, proposals, white papers, and capture activities.
Translate customer mission needs, training objectives, test requirements, CONOPs, and integration considerations into credible solution concepts.
Support engagements involving advanced defense simulation, training, test, and evaluation environments across Australia, the Indo-Pacific, AUKUS, and allied markets.
Explain image generation systems, synthetic environments, PAIBs, threat models, LVC architectures, sensor simulation, scenario generation, and AI-enabled synthetic agents to technical, operational, commercial, and leadership audiences.

Requirements

Nice to have: defense simulation
Nice to have: training
Nice to have: test
Nice to have: experimentation customers in Australia
Nice to have: Indo-Pacific

Skills

modeling and simulation

Field Solutions Engineer

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 7, 2026

Open

Warsaw, Mazovia, Poland
7+ years

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Serve as a customer-facing technical expert for Hivemind autonomy solutions across the EURAF region, supporting technical sales, demonstrations, and capture activities.

Responsibilities

Support customer discovery, technical briefings, demonstrations, technical interchange meetings, and capture activities
Translate customer mission needs, CONOPs, operational objectives, and integration constraints into credible Hivemind solution concepts
Partner with Business Development and Capture teams to support RFIs, RFPs, proposals, white papers, demos, and customer-facing technical narratives
Explain Hivemind autonomy capabilities, limitations, roadmap considerations, and integration requirements to technical, operational, commercial, and leadership audiences
Develop and maintain technical sales assets, including capability briefs, demo scripts, solution templates, FAQs, technical white papers, and customer-specific briefing materials

Requirements

Nice to have: direct experience supporting defense, security, aerospace, autonomy, robotics, or advanced technology customers in Europe, NATO, Africa, or allied international markets
Nice to have: familiarity with EURAF defense modernization priorities
Nice to have: experience with ministries of defense, armed forces, government stakeholders
Nice to have: experience with defense primes, systems integrators
Nice to have: experience with autonomous aircraft, unmanned systems

Field Solutions Engineer

f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 7, 2026

Open

Madrid, Madrid, Spain
Senior
7+ years

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Field Solutions Engineer supporting technical sales, customer engagements, demonstrations, and capture activities across Europe.

Responsibilities

Serve as a customer‑facing technical expert for Shield AI and Aechelon simulation, synthetic environment, and AI‑enabled mission system capabilities across Europe.
Support customer discovery, technical briefings, demonstrations, technical interchange meetings, RFIs, RFPs, proposals, white papers, and capture activities.
Translate customer mission needs, training objectives, test requirements, CONOPs, and integration considerations into credible solution concepts.
Support engagements involving European, NATO, and allied defense simulation, training, test, and evaluation environments.
Explain image generation systems, synthetic environments, PAIBs, threat models, LVC architectures, sensor simulation, scenario generation, and AI‑enabled synthetic agents to technical, operational, commercial, and leadership audiences.

Requirements

Nice to have: Real‑world autonomy experience
Nice to have: autonomous aircraft
Nice to have: unmanned systems
Nice to have: robotics
Nice to have: AI‑enabled mission systems

Skills

Python C++

Robotics Solution Architect (Humanoid Robots)

Intel Corporation · Posted Nov 9, 2026

Open

Shanghai, China +1 more
On-site
Full-time · Senior
8+ years

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Lead end-to-end solution architecture for humanoid robotics, defining hardware and software partitioning, subsystem interfaces, compute topology, and deployment requirements.

Locations (2)

Shanghai, China
Shenzhen, China

Responsibilities

Lead end-to-end solution architecture for humanoid robotics
Translate robot-level requirements into detailed technical specifications
Architect heterogeneous computing solutions across CPUs, GPUs, and AI accelerators
Define software architectures integrating robotics middleware, AI inference runtimes, real-time control frameworks
Collaborate with robotics engineering teams to integrate embodied AI models

Requirements

BS or MS in Robotics
Computer Science
Electrical Engineering
Mechanical Engineering
Control Engineering

Skills

robotics system architecture

Robotics Solution Architect (Quadruped Robots)

Intel Corporation · Posted Nov 9, 2026

Open

Shanghai, China +1 more
On-site
Full-time · Senior
5+ years

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Lead end-to-end solution architecture for quadruped robotics, defining hardware and software partitioning, subsystem interfaces, compute topology, and deployment requirements.

Locations (2)

Shanghai, China
Shenzhen, China

Responsibilities

Lead end-to-end solution architecture for quadruped robotics
Translate robot-level requirements into detailed technical specifications
Architect heterogeneous computing solutions across CPUs, GPUs, and AI accelerators
Define software architectures integrating robotics middleware, AI inference runtimes, real-time control frameworks
Collaborate with robotics engineering teams to integrate embodied AI models

Requirements

BS or MS in Robotics
Computer Science
Electrical Engineering
Mechanical Engineering
Control Engineering

Skills

Robotics system architecture

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