OneMain Financial Jobs

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.

3+ years of experience with Programming Language such as C, C++, Java, Python, etc. 3+ years of experience with debugging techniques.

Preferred Qualifications:

• Strong experience in embedded software development, integration, and debugging

• 15+ years in Software Application Engineering, Software Development, or related fields

• 8+ years of experience working with embedded platforms

• 6+ years experience with high level OS (QNX, Linux, or Android)

• Proficiency in C/C++ and modern scripting languages such as Python

• Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2

• Experience with supervised and unsupervised ML, including CV, NLP, and LLM based systems

• Experience with ML/MLOps pipelines for AI application development and deployment

• Solid understanding of ML/DL fundamentals, including CNNs, object detection, segmentation, and related algorithms

• Understanding of neural network operators, linear algebra, quantization, and related mathematical foundations

• Experience optimizing neural networks for embedded systems (latency, throughput, power)

• Excellent system-level debugging and issue triage skills

• Strong communication, collaboration, and customer focused mindset

• Ability to manage tasks, timelines, and drive cross-functional execution

• Ability to quickly learn new technologies and perform deep technical analysis

• Experience with ML applications in Automotive Infotainment or Autonomous Driving

• Familiarity with ML benchmark suites such as MLPerf

• Experience with dedicated ML accelerators or hardware blocks for embedded AI

• Experience with debugging tools (JTAG, ftrace, GDB)

• Experience tuning GenAI models or reinforcement learning

• Experience with inference optimization and edge deployment

Principal Duties and Responsibilities:

• Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge AI platforms

• Develop end to end applications for inference deployment on customer platforms

• Plan with team lead, take ownership of on-time delivery and quality.

• Train and support internal teams in issue resolution.

• Participate in cross department initiatives and activities to solve technical problems with cross-functional team.

• Contributing towards the continuous development and innovation of tools, technology and user experience

• Assist in the design, development, and implementation of Gen AI and LLM applications

• Contribute towards implementing fine tuning and distillation techniques

• Perform ML model benchmarking and functional analysis to drive requirements and specifications

• Support customer engagement with AI model/workload optimization and deployment

• Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems

• Develops new and innovative ideas for a product or feature area.

• Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.

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