Software Engineer - Data
Hybrid Santa Clara Full-time Mid-level Software Engineering
At a glance
Mid-level Software Engineering role at PlusAI. Santa Clara · full-time · $135,000–$180,000 base.
SalaryStated by PlusAI
$135,000 – $180,000
Base salary for this role, in USD per year, as published in the posting.
This role, from PlusAIOur estimate for the market: $155,875–$201,800Median $164,500
The range includes the market median of $164,500 for mid-level software engineering roles in Santa Clara.
Worked out from 18 postings that stated pay, median $164,500. Last updated Oct 20, 2026.
RoleSoftware Engineering
SeniorityMid-level
LocationSanta Clara
WorkplaceHybrid
EmploymentFull-time
Base pay$135,000–$180,000
PostedJun 12, 2026 · 4mo ago
Role brief
techroles summary, based on the employer's posting.
What you'll do
- Design and maintain data pipelines, including the systems that extract, transform and load data
- Improve data delivery and scalability by automating manual work and redesigning infrastructure
- Build analytics tools for customer acquisition, operational efficiency and other business measures
- Analyze complex data for patterns, use statistical methods and produce ongoing reports
- Support executives and engineering and operations teams with data infrastructure, analysis and reporting needs
What you bring
- A master’s degree in computer science, electrical engineering or a related field
- At least one year of software engineering experience
- Strong skills in Python, SQL, microservices, databases and data pipelines
- Experience with large-scale processing such as MapReduce, Spark or Kafka, plus AWS services such as S3, EC2 or RDS
Who this fits
This role suits a mid-level software engineer focused on data systems, analytics and reporting. It is hybrid in Santa Clara.
From the employer
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Responsibilities:
- Create and maintain optimal data processing pipeline architecture
- Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Identify, analyze, and interpret trends or patterns in complex data sets
- Work with stakeholders including the Executive, Engineering, and Operation teams to assist with data-related technical issues and support their data infrastructure, analysis, and reporting needs
- Keep our data secure through multiple data centers and AWS regions
Required Skills:
- MS in Computer Science, Electrical Engineering, or related field
- 1+ years of software engineering experience
- Good oral and written communication skills
- Expertise in Python, SQL, microservices, databases, data pipelines
- Technical expertise regarding data models, database design and development, data mining and segmentation techniques
- Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
- Experience with AWS core technologies such as S3, EC2, RDS
- Extensive software design and development skills
- Ability to learn and adapt to new technologies and contribute in a productive environment.
- Strong knowledge of and experience with reporting packages
Preferred Skills
- Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Experience working with autonomous vehicles or robotics.
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