Senior/Staff AI Engineer
ForterraEast Palo Alto, CAPosted 24 March 2026
Tech Stack
Job Description
About Forterra
At Forterra, we are unleashing autonomy at scale to transform the battlefield. Our mission is to build the foundational platforms that enable an intelligent ecosystem to coordinate, adapt, and execute with speed and precision even in the uncertainty and disruption of modern conflict. In an era marked by rapid technological change and evolving threats, we design for flexibility, survivability, and operational dominance.
Forterra delivers weapons, sensors, and battlefield effects through integrated autonomous networks reaching operational areas faster, safer, and without placing human lives at risk. Our systems operate with distributed control, dynamic routing, and real-time responsiveness, enabling sustained advantage across complex mission environments.
About the Role
The Forterra AI team seeks a Senior AI Engineer with expertise in computer vision and machine learning, particularly in multi-view understanding and spatial reasoning. You will be responsible for designing and deploying advanced AI systems that integrate information from multiple viewpoints to build unified scene representations. This is a highly collaborative role, working with research and product teams to bring cutting-edge ideas into scalable, real-world solutions.
What You'll Do
Research, design, and implement algorithms for multi-view scene understanding and 3D spatial perception.
Build scalable pipelines for training and deploying large-scale vision models.
Optimize vision systems for robustness, efficiency, and accuracy.
Collaborate across teams to translate research into production-ready solutions.
Stay at the forefront of advancements in visual grounding, representation learning, and geometric reasoning
Minimum Qualifications
Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field, or equivalent experience.
Passion for solving complex problems in computer vision and machine learning.
Strong technical foundation in multi-view vision, scene alignment, and 3D reasoning.
Ability to collaborate effectively with cross-functional teams and communicate complex concepts clearly.
Curiosity to explore emerging methods in AI and apply them to practical challenges.
Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow).
Strong programming skills in Python and or C++ .
Experience with large-scale training, distributed systems, and high-performance computing.
Proven track record of publishing, deploying, or delivering advanced AI systems.
Preferred Qualifications
Experience with large-scale vision transformers and representation learning frameworks.
Familiarity with high-dimensional visual representations and cross-modal alignment.
Exposure to real-time perception systems, robotics, or simulation environments.
Contributions to open-source projects or published research in top-tier venues.
A mindset that blends research creativity with engineering pragmatism. Experience working with Vision-Language Models (VLMs) and Vision-Language-Action (VLAs), particularly in applying them to real-world perception, reasoning, or decision-making tasks.
US Salary Range
$160,000—$210,000
The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra’s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including:
Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the ... (truncated, view full listing at source)
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