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Software Engineer (Python C++) — ML Platform & Production Integration

Velo3D

Job Location:

Fremont, CA - USA

Monthly Salary: $ 120000 - 150000

Posted: 5 June 2026 (30+ days ago)

Application Deadline: 15 September 2026

Vacancies: 1 Vacancy

Job Summary

Position Overview:

We are seeking a Software Engineer to help bridge the gap between machine learning research and production this role you will work closely with Machine Learning Engineers developing algorithms for defect detection and in-situ process monitoring in laser powder bed fusion additive manufacturing.

Your primary focus will be production software: translating validated Python prototypes into high-performance C implementations integrating algorithms into the printer software stack developing robust testing and validation frameworks and building the infrastructure needed to support reliable and efficient machine learning workflows. This position is ideal for engineers who enjoy transforming innovative ideas into production-ready systems that deliver measurable impact. This is a hands-on engineering role for someone who enjoys turning working prototypes into maintainable production code cares about correctness and test coverage and can build practical tools for data management batch processing and pipeline automation.

Responsibilities

Productionize ML algorithms: Take validated Python prototypes from MLEs and implement equivalent performant C modules suitable for integration into production printer software.
Integration and release support: Work with print software and embedded teams to integrate new algorithms resolve build and runtime issues and support release validation on hardware or representative test environments.
Testing and quality assurance: Design implement and execute test plans (unit integration and regression) to verify numerical correctness edge cases and parity between Python reference implementations and C production code.
Build ML infrastructure and tooling: Develop and maintain Python-based utilities and services that support MLE worke.g. data download and cataloging batch preprocessing dataset versioning pipeline orchestration and operational scripts.
Improve data management workflows: Help structure how build sensor data is stored indexed retrieved (including from archival storage) and made available for training and evaluation.
Reduce engineering toil: Identify repetitive tasks in the ML workflow (data movement labeling prep evaluation runs) and automate them with well-documented reliable tooling.
Partner with MLEs on specifications: Clarify interfaces performance requirements and acceptance criteria so prototypes can be handed off cleanly and integrated without ambiguity.

Requirements

Bachelors degree in Computer Science Software Engineering or a related field.
3 years of professional software development experience.
Strong proficiency in Python for scripting tooling and data processing.
Strong proficiency in C for production software development.
Experience writing automated tests and executing structured test plans.
Experience with version control code review and working in a shared production codebase.
Ability to read and reason about ML or image-processing code written by others even if model design is not your primary focus.
Clear written and verbal communication; comfortable working across ML and platform/software teams.

Nice to Haves

Experience porting algorithms from Python (NumPy OpenCV PyTorch) to optimized C.
Familiarity with computer vision image processing or numerical computing libraries.
Experience with additive manufacturing industrial IoT or sensor data pipelines.
Experience with AWS or similar cloud storage and batch data workflows.
Familiarity with CMake cross-platform builds or embedded/edge deployment constraints.
Experience building internal developer tools data catalogs or ETL-style pipelines.
Exposure to CI/CD static analysis or performance profiling in C codebases.

About the Company:

Velo Velo3D Sapphire and Intelligent Fusion are registered trademarks of Velo3D Inc. Without Compromise Flow Flow Developer and Assure are trademarks of Velo3D Inc.

With the only SupportFree laser powder bed fusion capability we enable on-demand manufacturing of production quality Titanium Inconel and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3Daward-winning solution includes an integrated offering of hardware and software: Sapphire metal AM production printer Flow print preparation software Assure quality assurance and control system and an integrated manufacturing process that runs throughout the printing operation.

Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.

Our job titles may span more than one career level. The starting base salary for this full-time position is between $120000 and $150000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors such as work experience job-related skills related education work location and market demands. The base pay range is subject to change and may be modified in the addition to a competitive base salary and a comprehensive benefits package this position may be eligible for other forms of compensation such as participation in a bonus and equity program as applicable.

Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to and prohibits discrimination and harassment based on race color religion age sex national origin disability medical condition genetic information military or veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

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.

Required Experience:

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