Company
Software
SoftwareEngineer(Python/C++)—MLPlatform&ProductionIntegration
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer (Python / C++) — ML Platform & Production Integration. Skills: ML Productionization, C++ Development, Python Tooling, Data Pipelines. Productionize ML algorithms. Implement C++ modules”
Industry & Context.
Troubleshooting build issues; Troubleshooting runtime issues
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 3+ years professional software development experience, Proficiency in Python, Proficiency in C++, Experience writing automated tests, Experience with version control, Experience with code review, Experience in shared production codebase, Ability to read ML code, Ability to read image-processing code, Clear written communication, Clear verbal communication, Comfortable working across ML teams, Comfortable working across platform teams, Comfortable working across software teams
Nice to Have
Experience porting algorithms from Python to C++, Familiarity with computer vision libraries, Familiarity with image processing libraries, Familiarity with numerical computing libraries, Experience with additive manufacturing, Experience with industrial IoT, Experience with sensor data pipelines, Experience with AWS, Experience with cloud storage, Experience with batch data workflows, Familiarity with CMake, Familiarity with cross-platform builds, Familiarity with embedded deployment constraints, Familiarity with edge deployment constraints, Experience building internal developer tools, Experience building data catalogs, Experience building ETL pipelines, Exposure to CI/CD, Exposure to static analysis, Exposure to performance profiling in C++
What You'll Do.
Productionize ML algorithms
Implement C++ modules
Integrate new algorithms
Resolve runtime issues
Support release validation
Verify numerical correctness
Build ML infrastructure
Develop Python utilities
Maintain Python utilities
Develop Python services
Maintain Python services
Support data download
Support data cataloging
Support batch preprocessing
Support dataset versioning
Support pipeline orchestration
Support operational scripts
Improve data management workflows
Structure sensor data storage
Reduce engineering toil
Automate repetitive tasks
Clarify performance requirements
Clarify acceptance criteria
How You'll Work.
Team & Collaboration
Print software teams; Embedded teams; ML teams; Platform teams; Software teams
Communication Scope
Written communication; Verbal communication
Full Job Description
## 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 work—e.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 Bachelor's 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 yo
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