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Entry Level Perception Engineer Jobs in Tennessee

DevOps Engineer I

Nashville, TN

$51 - $69.75/hr

In this entry-level role, you will build foundational skills in automation, CI/CD, cloud ... depth perception, and ability to adjust focus. RevSpring is an equal opportunity employer. All ...

DevOps Engineer I

Nashville, TN · On-site

$51 - $69.75/hr

In this entry-level role, you will build foundational skills in automation, CI/CD, cloud ... depth perception, and ability to adjust focus. RevSpring is an equal opportunity employer. All ...

DevOps Engineer I

Nashville, TN

$51 - $69.75/hr

In this entry-level role, you will build foundational skills in automation, CI/CD, cloud ... depth perception, and ability to adjust focus. RevSpring is an equal opportunity employer. All ...

Entry Level Perception Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Perception Engineer, and why are they important?

To thrive as an Entry Level Perception Engineer, you need a solid background in computer vision, robotics, or machine learning, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with programming languages like Python or C++, as well as experience with frameworks such as OpenCV, ROS, or TensorFlow, is commonly required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this role. These skills and qualities are essential for developing reliable perception systems that enable safe and efficient autonomous or robotic operations.

What are some common challenges faced by entry level perception engineers when working on autonomous vehicle projects?

As an entry level perception engineer in the autonomous vehicle industry, you may encounter challenges such as fine-tuning machine learning models to accurately detect and classify objects in diverse environments. Adapting to rapidly evolving sensor technologies and integrating data from multiple sources, like LiDAR and cameras, can also be complex. Additionally, working closely with cross-functional teams—including software developers and hardware engineers—requires strong communication and collaboration skills to ensure seamless integration and system performance.

What does an Entry Level Perception Engineer do?

An Entry Level Perception Engineer typically works on developing and improving systems that enable machines—such as self-driving cars or robots—to understand and interpret their surroundings using sensors like cameras, lidar, and radar. They implement algorithms to process sensor data and help the system detect, classify, and track objects in real time. This role often involves programming, testing, and collaborating with other engineering teams to integrate perception capabilities into larger systems. Entry-level engineers usually work under the supervision of more experienced engineers while gaining practical experience in computer vision and machine learning.

Is ML a high paying job?

Entry level perception engineers working with machine learning (ML) typically earn salaries comparable to other entry-level tech roles, with starting pay often ranging from $70,000 to $100,000 annually depending on location and company. As experience and skills in areas like data analysis, programming, and model deployment increase, salaries can grow significantly. Certifications and proficiency in tools like Python, TensorFlow, or cloud platforms can also influence earning potential.

What is the difference between Entry Level Perception Engineer vs Entry Level Computer Vision Engineer?

AspectEntry Level Perception EngineerEntry Level Computer Vision Engineer
Required CredentialsBachelor's in CS, EE, or related field; knowledge of perception algorithmsBachelor's in CS, EE, or related field; familiarity with image processing
Work EnvironmentAutonomous vehicles, robotics, or AI companiesImage analysis, robotics, or AI research labs
Industry UsageAutomotive, robotics, AI startupsTech companies, research institutions, automotive

Both roles focus on perception and require similar educational backgrounds, but perception engineers often work on sensor data integration, while computer vision engineers focus on image and video analysis. The perception engineer role emphasizes sensor fusion and environment understanding, whereas computer vision emphasizes image processing techniques. Both are vital in AI-driven industries, with overlapping skills but different application focuses.

What are the most commonly searched types of Perception Engineer jobs in Tennessee? The most popular types of Perception Engineer jobs in Tennessee are:
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What job categories do people searching Entry Level Perception Engineer jobs in Tennessee look for? The top searched job categories for Entry Level Perception Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Entry Level Perception Engineer jobs? Cities in Tennessee with the most Entry Level Perception Engineer job openings:
Infographic showing various Entry Level Perception Engineer job openings in Tennessee as of May 2026, with employment types broken down into 1% Locum Tenens, 51% Full Time, and 48% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

$51 - $69.75/hr

Other

Posted 2 days ago


Job description

Job Title: DevOps Engineer I
What You Will Do
As a DevOps Engineer I, you will support the development, deployment, and maintenance of RevSpring's cloud infrastructure and engineering tooling. In this entry-level role, you will build foundational skills in automation, CI/CD, cloud technologies, and reliability engineering while collaborating with peers across the organization.
Key Responsibilities
  • Cross-Team Collaboration: Work with product managers, developers, and business leaders to translate requirements into software or infrastructure solutions.
  • Cloud Infrastructure Support: Assist in supporting AWS and GCP cloud environments used to develop, test, and deploy RevSpring products.
  • DevOps Tooling & Pipelines: Help define and support tools and pipelines that power the SDLC and improve productivity for engineering teams.
  • Reliability Advocacy: Promote cloud service reliability principles and help ensure high availability and fault tolerance in production architectures.
  • Technical Problem Solving: Take on technical tasks with ambiguity, identifying issues and contributing to creative solutions.
  • Best Practices Education: Assist in educating internal teams on DevOps practices across the SDLC.
  • Coding & Reviews: Write clean, maintainable code and participate in code reviews to help maintain code quality.
  • Infrastructure Optimization: Optimize cloud infrastructure for scalability and reliability.
  • Security Implementation: Help implement security controls and improve the security posture of cloud and network architectures.
  • Stay Current on Technology: Keep up with cloud computing, infrastructure, and security trends.
  • Infrastructure as Code: Implement and enhance infrastructure using Terraform and Pulumi.
  • Systems & Tooling: Work with AWS services, Docker, Linux, GitHub Actions, Jenkins, and Python.
  • Agile Collaboration: Work within an Agile/Scrum team environment.
  • On-Call Support: Participate in the cloud infrastructure on-call rotation.
What You Will Bring
Required Skills & Experience
  • Familiarity with one or more programming languages (Python a plus).
  • Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).
  • Knowledge of Git.
  • Experience with AWS services such as EC2, ECS, IAM, S3, Fargate, Lambda, and VPC.
  • Experience with GCP services such as GCE, GKE, IAM, GCS, VPC, Cloud Run, and Cloud Functions.
  • Understanding of Docker, Linux, Shell/Bash, and virtualization technologies.
  • Understanding of CI/CD methodologies and tools (Jenkins, CircleCI, GitHub Actions).
  • Experience with engineering productivity tools such as Jira, Confluence, and GitHub.
Bonus Skills
  • Experience with observability platforms (e.g., Datadog).
  • Familiarity with security compliance standards.
  • Works well within a team structure and supports shared goals and responsibilities.
  • Appreciates feedback and uses it to continuously improve.
  • Is excited to contribute to cloud infrastructure, automation, and operational excellence while learning from more experienced engineers.

Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.