As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...
As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...
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As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you'll learn how we ...
Intern Fresher Software Engineer information
See salary details
$13.46 - $15.76
5% of jobs
$15.76 - $18.05
7% of jobs
$20.30 is the 25th percentile. Wages below this are outliers.
$18.05 - $20.35
13% of jobs
$20.35 - $22.64
9% of jobs
The median wage is $24.49 / hr.
$22.64 - $24.93
19% of jobs
$24.93 - $27.23
18% of jobs
$27.80 is the 75th percentile. Wages above this are outliers.
$27.23 - $29.52
14% of jobs
$29.52 - $31.82
7% of jobs
$31.82 - $34.11
4% of jobs
$34.11 - $36.41
0% of jobs
$36.41 - $38.70
3% of jobs
$13
$25
$38
How much do intern fresher software engineer jobs pay per hour?
As of Jul 16, 2026, the average hourly pay for intern fresher software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.
What cities are hiring for Intern Fresher Software Engineer jobs? Cities with the most Intern Fresher Software Engineer job openings:
What are the most commonly searched types of Fresher Software Engineer jobs? The most popular types of Fresher Software Engineer jobs are:
What states have the most Intern Fresher Software Engineer jobs? States with the most job openings for Intern Fresher Software Engineer jobs include:
Full-time
Re-posted 14 days ago
Job description
As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new hardware innovations forward.
We are looking for motivated problem solvers with strong machine learning and software development skills, with an interest in applying AI to complex technical challenges at the intersection of software and hardware design. Join our collaborative and innovative team as we work to transform the future of circuit design.
Responsibilities
As our ML software engineer your primary responsibilities will include:
- Designing, building, training, and evaluating machine learning models that support circuit design workflows.
- Developing models for circuit performance prediction, design-space optimization, and simulation acceleration.
- Building data pipelines and model-training workflows using simulation results, measurement data, circuit parameters, and design constraints.
- Working with a cross-functional team to understand model requirements and translate engineering needs into ML solutions.
- Preparing technical documentation and reports.
- Participating in design reviews, brainstorming sessions, and technical discussions.
We are considering full-time/ part-time applicants for Summer and Fall 2026.
The ideal candidate will have strong technical competency, curiosity, and the ability to take ownership of a well-defined project. They should also be excited to adapt, learn quickly, and grow in a fast-paced startup environment.
Requirements
Minimum Requirements:
- Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field.
- Strong programming skills in Python with experience in scripting and automation.
- familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Understanding of software engineering principles, code organization, and collaborative development practices.
- Experience with data processing libraries such as pandas, NumPy, and SciPy.
- Understanding of methods for evaluating, validating, and improving AI/ML model performance in real-world applications.
- Strong collaboration and communication skills.
Benefits
- Paid, full-time, onsite internship at our Bay Area, CA location with competitive salary
- Opportunity to work with a collaborative and ambitious team developing disruptive products.
- Opportunities for growth, leadership, and project ownership in a dynamic startup environment.