Entry Level Software Integration Engineer Jobs
New grad software integration engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work demonstrating systems connectivity and API knowledge can matter more than a long resume. Most openings are on-site, remote, and hybrid roles across Technology & Software, Consulting & Professional Services, and Automotive, with employers like Trace3, 42dot, and PlusAI hiring at this level now.
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Showing 5 of 7+ Entry Level Software Integration Engineer jobs
INTRODUCTION
We are looking for the best
About us
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
About The Role
Great models are only as good as the system they run on. This role sits at the boundary between the ML autonomy team's models and the on-board system, taking what the research and ML teams build and turning it into something that runs reliably, in real time, on real vehicle hardware. 42dot is looking for builders who want to own the last and hardest mile between a model that works in an offline eval and a model that works in a vehicle.
Founding Team Opportunity
The On-board Integration Architecture Is Being Defined Right Now, With No Legacy Deployment Stack To Retrofit. An Early Hire Here Will Help Shape
- The model deployment pipeline, from training-time artifact to vehicle-ready binary
- Inference optimization strategy and tooling for the whole autonomy stack
- The interface contract standard between ML models and on-board software
Responsibilities
- Integrate ML models (end-to-end driving, VLA, world models) onto the on-board compute and runtime stack
- Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware
- Build and maintain the model deployment pipeline, including conversion, validation, and rollout
- Stabilize on-vehicle ML execution by diagnosing runtime failures, timing violations, and resource contention
- Define interface contracts between ML models and the rest of the on-board software stack
- Work closely with the ML autonomy team to close the loop between deployment constraints and model design
Qualifications
- A track record of grit and ownership, with a demonstrated ability to work through ambiguous technical problems to a working solution
- Bachelor's or Master's degree in CS, EE, Robotics, or related field
- 2-4 years of experience in systems or software engineering, with some exposure to ML inference, embedded systems, or real-time software
- Experience contributing to deploying or optimizing ML models in production
- Solid C++ and Python skills, with interest in working across the ML and systems boundary
Preferred Qualifications
- Background in autonomous driving or robotics on-board software
- Exposure to inference optimization frameworks such as TensorRT, ONNX Runtime, and automotive SoCs
- Exposure to real-time operating systems and safety-critical software practices
- Experience contributing to CI/CD and automated validation pipelines
INTRODUCTION
We are looking for the best
About us
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
About The Role
Great models are only as good as the system they run on. This role sits at the boundary between the ML autonomy team's models and the on-board system, taking what the research and ML teams build and turning it into something that runs reliably, in real time, on real vehicle hardware. 42dot is looking for builders who want to own the last and hardest mile between a model that works in an offline eval and a model that works in a vehicle.
Founding Team Opportunity
The On-board Integration Architecture Is Being Defined Right Now, With No Legacy Deployment Stack To Retrofit. An Early Hire Here Will Help Shape
- The model deployment pipeline, from training-time artifact to vehicle-ready binary
- Inference optimization strategy and tooling for the whole autonomy stack
- The interface contract standard between ML models and on-board software
Responsibilities
- Integrate ML models (end-to-end driving, VLA, world models) onto the on-board compute and runtime stack
- Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware
- Build and maintain the model deployment pipeline, including conversion, validation, and rollout
- Stabilize on-vehicle ML execution by diagnosing runtime failures, timing violations, and resource contention
- Define interface contracts between ML models and the rest of the on-board software stack
- Work closely with the ML autonomy team to close the loop between deployment constraints and model design
Qualifications
- A track record of grit and ownership, with a demonstrated ability to work through ambiguous technical problems to a working solution
- Bachelor's or Master's degree in CS, EE, Robotics, or related field
- 2-4 years of experience in systems or software engineering, with some exposure to ML inference, embedded systems, or real-time software
- Experience contributing to deploying or optimizing ML models in production
- Solid C++ and Python skills, with interest in working across the ML and systems boundary
Preferred Qualifications
- Background in autonomous driving or robotics on-board software
- Exposure to inference optimization frameworks such as TensorRT, ONNX Runtime, and automotive SoCs
- Exposure to real-time operating systems and safety-critical software practices
- Experience contributing to CI/CD and automated validation pipelines
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Find JobsEntry Level Software Integration Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Automotive
- Manufacturing
- Aerospace & Defense
Entry Level Software Integration Engineer Jobs: Frequently Asked Questions
How do I get an entry level software integration engineer job?
Employers hiring at this level look for hands-on experience connecting systems, working with APIs, and troubleshooting data flows, even if that experience comes from coursework, personal projects, or internships. A portfolio showing you've built or debugged an integration pipeline gives you a concrete edge. Familiarity with common middleware tools, RESTful services, and version control rounds out what most hiring managers want to see from a first-time candidate.
Which companies hire entry level software integration engineers?
Companies hiring entry level software integration engineers right now include Trace3, 42dot, and PlusAI, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from enterprise technology firms, healthcare IT vendors, logistics and supply chain companies, and large financial institutions that rely on complex, connected software systems.
Are there remote entry level software integration engineer jobs?
Yes, though on-site and hybrid roles remain common at this experience level. About 14% of entry level software integration engineer openings are remote or hybrid as of November 2026, so candidates who prefer flexibility still have genuine options. Many employers offering remote work at this level expect candidates to be comfortable collaborating across time zones and communicating technical details clearly in writing.
Are these new grad software integration engineer jobs?
Yes, the listings here include new grad, recent graduate, and junior software integration engineer roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or project work in place of full-time history, or explicitly invites applicants with a portfolio to demonstrate skills. Bootcamp graduates and self-taught candidates who can show integration work are also competitive for many of these openings.
Which industries hire the most entry level software integration engineers?
Entry Level software integration engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Automotive, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their operations depend on connecting disparate software platforms, automating data exchange, and maintaining reliable pipelines across internal and third-party systems.