Custom Software Engineer

About the role

Project Role: Custom Software Engineer

Project Role Description

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills

Embedded Product Verification & Validation

Good to have skills: NA

Minimum 7.5 year(s) of experience is required

Educational Qualification

Bachelors degree in Computer Science or Software Engineering Computer or Electrical Engineering or Automotive Engineering or equivalent technical experience is required

Summary

The Associate Manager will lead the creation and maintenance of simulation test scenarios derived from real-world system logs and telemetry. The role requires strong diagnostic reasoning, an understanding of complex software architectures and state machines, and the ability to translate observed system behavior into precise, bounded simulation parameters. The lead will guide the development of reusable configurations and programmatic rulesets that work reliably across varied automated data pipelines, rather than relying on single-instance scenario creation.

Roles & Responsibilities

• Lead log-based test generation and maintenance, with a focus on diagnostic accuracy and reproducible simulation scenarios.
• Analyze system logs and real-world telemetry to identify relevant events, infer system states, isolate variables and investigate the causes of observed behavior.
• Define strict inclusion criteria for selecting log events and translate them into bounded simulation parameters.
• Understand how software modules, state machines, environmental physics and simulator configurations interact to produce the behavior under test.
• Define scenario logic using Boolean conditions, geometric constraints and time-based predicates within dynamic 3D environments.
• Develop reusable configurations, test parameters and programmatic rulesets that can be applied in bulk across highly variable automated data pipelines.
• Design boundary-value and edge-case tests, with clear metrics and tolerances that isolate the intended signal while allowing acceptable minor execution variances.
• Maintain scenarios and configurations as system behavior, source logs and simulation inputs change, checking that the intended test conditions remain valid.
• Review scenario definitions and diagnostic findings for clarity, consistency and traceability to the source telemetry.
• Coordinate technical work across the US and India teams and provide guidance on scenario design, troubleshooting and configuration maintenance.
• Support team capability development across relevant backgrounds, including QA automation, data analysis, Tier 3 technical support and systems integration.

Professional & Technical Skills

• Strong deductive reasoning and analytical judgment to reverse-engineer observed behavior and troubleshoot complex issues.
• Systems-level thinking, with the ability to move from individual scenarios to reusable rules that support large-scale automated execution.
• A structured and detail-oriented approach to defining inclusion criteria, documenting assumptions and checking diagnostic conclusions.
• Clear technical communication and the ability to explain scenario logic, system interactions and findings to a distributed team.
• Ability to lead technical discussions and guide colleagues from different engineering and diagnostic backgrounds
• Systems Architecture & Modular Thinking: Understand complex, interdependent software architectures and state machines, including the interaction of discrete modules, environmental physics and simulator configurations.
• Log Analysis & Diagnostic Troubleshooting: Parse system logs, interpret telemetry, isolate variables and translate real-world events into accurate, bounded simulation parameters.
• Parametric Design & Spatial Logic: Apply Boolean logic, geometric constraints and time-based predicates to dynamic 3D environments.
• Algorithmic Scalability: Design configurations and test parameters that remain reliable across variable automated data pipelines, using programmatic rulesets that can be applied in bulk.
• Robustness & Boundary Value Analysis: Identify edge cases, define suitable tolerances and design metrics that distinguish the intended signal from acceptable minor execution variances.
• Configuration & Visual Logic Tools: Experience with visual node-based logic, such as Unreal Engine Blueprints or Unity, or complex configuration languages such as JSON and XML is beneficial.
• Relevant Backgrounds: Experience in QA automation engineering, data analysis, Tier 3 technical support or systems integration may provide a suitable foundation when supported by the core competencies above

Additional Information

• The candidate should have minimum 11 years of experience in Test and Embedded Product Verification & Validation.
• This position is based at our Bengaluru office.
• A Bachelors degree in Computer Science or Software Engineering Computer or Electrical Engineering or Automotive Engineering (Systems and Controls), Applied Mathematics, Physics, or equivalent technical experience is required