Senior 3D & AI Systems Software Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior 3D & AI Systems Software Developer based in United States.

This role offers the opportunity to build the backend systems powering the next generation of intelligent 3D design review. You’ll work at the intersection of backend engineering, CAD systems, geometry processing, and machine learning to analyze complex 3D engineering models at scale. The position combines hands-on software development with experimentation, technical problem-solving, and close collaboration across engineering, product, and ML teams. You’ll help transform complex geometry and engineering data into actionable insights and AI-assisted review workflows. The environment is highly autonomous, technically challenging, and designed for engineers who enjoy solving problems without predefined answers. Your work will directly shape how advanced engineering organizations use AI to improve design quality and accelerate product development.

Accountabilities

• Serve as a key contributor to the backend development of 3D AutoReview capabilities, taking features from pipeline architecture and experimentation through production delivery.
• Design, build, and maintain robust, scalable backend systems and APIs supporting intelligent 3D model analysis.
• Experiment with geometry parsing, model analysis, quality detection, anomaly identification, and contextual information generation for 3D design reviews.
• Develop extensible systems that support custom rules, reference data, and scalable workflows for 3D engineering analysis.
• Collaborate closely with ML teams to integrate machine learning and AI capabilities into the 3D review process.
• Contribute to ML-assisted workflows involving feature extraction, embeddings, inference, model integration, and AI-driven analysis.
• Partner with backend, frontend, and product teams to deliver high-impact capabilities while maintaining speed, quality, and strong cross-functional alignment.
• Explore new technical approaches, test assumptions, and solve complex geometry, infrastructure, and AI problems that may not have clearly defined solutions.
• Help establish and maintain strong technical standards, engineering practices, and scalable architectural patterns across the team.
• Become a subject-matter resource for 3D-related challenges within the AutoReview domain and help other team members build expertise.

Requirements

• 5+ years of professional backend software development experience, ideally within a product or platform engineering environment.
• Strong understanding of 3D mathematics, with practical experience involving graphics engines, CAD kernels, robotics, 3D simulations, or related technologies.
• Experience with 3D/CAD technologies such as HOOPS, OpenCascade, Parasolid, or comparable platforms is highly valuable.
• Demonstrated ability to design, develop, deploy, and maintain reliable and scalable backend systems and APIs.
• Experience working with multiple data storage paradigms, including SQL, NoSQL, and vector databases.
• Knowledge of ML, AI, and LLM concepts, with experience taking AI capabilities into production environments.
• Familiarity with 3D machine learning pipelines, including feature extraction, embedding generation, model training, or inference.
• Experience with agentic AI workflows and frameworks such as Pydantic AI is a plus.
• Experience integrating and working with large language models through APIs such as OpenAI, Anthropic, or Google Gemini.
• Familiarity with machine learning frameworks including PyTorch, Hugging Face, or Scikit-learn.
• Experience deploying machine learning services using cloud infrastructure such as AWS SageMaker or Amazon Bedrock.
• Strong problem-solving skills and comfort working through ambiguous or loosely defined technical challenges.
• Excellent communication skills, with the ability to explain complex technical problems and translate them into clear paths forward.
• Experience with CAD modeling software such as SolidWorks, Creo, or Onshape is a strong plus.
• Knowledge of mechanical engineering principles and workflows is a strong plus.
• Self-directed, curious, and proactive, with the ability to investigate unfamiliar problems and communicate findings clearly.

Benefits

• Competitive compensation package including stock options.
• Extended health benefits.
• Comprehensive health and dental coverage, including 100% coverage.
• Unlimited paid vacation.
• RRSP/401(k) matching.
• Fully remote work within North America.
• Full-time, permanent employment.
• Opportunity to work on technically advanced applications combining 3D engineering, AI, machine learning, and backend systems.
• High-autonomy environment with opportunities to influence architecture, technical standards, and product direction.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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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.