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Senior Fullstack Software Engineer
Company | PlusAI |
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Location | Santa Clara, CA, USA |
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Salary | $160000 – $200000 |
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Type | Full-Time |
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Degrees | Master’s |
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Experience Level | Senior |
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Requirements
- MS in Computer Science, Electrical Engineering, or related field
- 3+ years of software engineering experience
- Good oral and written communication skills
- Expertise in Python, C++, microservices, databases, data pipelines
- Experience with large volumes of sensor data processing
- Extensive software design and development skills
- Experience with AWS core technologies such as VPC, EC2, ASG, RDS, S3 and Lambda
- Experience working with Docker, Kubernetes and Infrastructure as code such as Terraform or AWS CDK
- Experience working with autonomous vehicles or robotics.
Responsibilities
- Develop and deploy scalable web applications including front-end and back-end services.
- Design and implement data analytics and reporting tools for R&D as well as business uses.
- Design and implement high-performance, high-availability distributed data pipelines and services in cloud environments.
- Build and maintain distributed systems that can handle large volumes of data in real-time.
- Collaborate with cross-functional teams to define requirements and ensure that data is collected, stored, processed, and analyzed in a secure, efficient, and scalable manner.
- Develop and maintain data quality checks and monitoring systems to ensure the accuracy and integrity of the data.
- Continuously improve the performance, scalability, and reliability of our data infrastructure and applications.
- Up the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Qualifications
- Experience with deep learning frameworks (e.g. TensorFlow, PyTorch).