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New Grad Jobs in Conroe, TX (NOW HIRING)

Willing to accept new grad or Board Eligible candidate? NO * Willing to accept J1 or H1 visa candidates? NO * Compensation: $215,000-225,000 salary + productivity bonuses * Benefits Offered: Health ...

Willing to accept new grad or Board Eligible candidate? NO * Willing to accept J1 or H1 visa candidates? NO * Compensation: $215,000-225,000 salary + productivity bonuses * Benefits Offered: Health ...

Nurse Midwife

Houston, TX · On-site

$94K - $117K/yr

Obstetrics and Gynecology Opportunity Seeking a new grad with 3+ years of L&D experience or an experienced Nurse Midwife to join our team on the campus of The Woman's Hospital of Texas in Houston ...

Nurse Midwife

Houston, TX · On-site

$94K - $117K/yr

Seeking a new grad with 3+ years of L&D experience or an experienced Nurse Midwife to join our team on the campus of The Woman's Hospital of Texas in Houston, Texas. Qualifications: * Critical ...

Physical Therapist PT- (New Grad's Accepted) Home Health | Full-Time | New Graduates Welcome Overview Seeking a dedicated and compassionate Physical Therapist to join a growing home health team. This ...

New grad PA's will be considered - but must have strong pediatric surgery experience or passion for pediatric surgery. * Must be people-oriented and willing to learn * Monday - Friday, 7:00 am - 4:00 ...

Showing results 21-40

New Grad information

See Conroe, TX salary details

$15

$27

$38

How much do new grad jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for new grad in Conroe, TX is $27.35, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $30.48 per hour, depending on experience, location, and employer.

What is a new grad?

A New Grad job is an entry-level position designed for recent graduates who have little to no professional experience. These roles provide training, mentorship, and hands-on experience to help new graduates transition from academia to the workforce. Employers typically seek candidates with relevant degrees, strong problem-solving skills, and a willingness to learn. New Grad jobs are common in industries like technology, finance, healthcare, and engineering.

What are the key skills and qualifications needed to thrive in the new grad position?

To thrive as a New Grad, you need a relevant degree in your chosen field, foundational industry knowledge, and a willingness to learn. Familiarity with common workplace software, project management tools, or basic data analysis platforms may be beneficial depending on the industry. Strong communication, time management, and teamwork skills help new graduates adapt and stand out as they transition into professional environments. Mastering these skills is essential for successfully navigating entry-level responsibilities, building relationships, and growing in your career.

What types of training or mentorship programs are commonly available to new grads in their first professional role?

Many organizations offer structured onboarding programs, mentorship pairings, and on-the-job training specifically designed for New Grads. These initiatives help you become familiar with company processes, develop key technical and soft skills, and provide guidance as you adjust to a professional work environment. New Grads frequently benefit from regular check-ins with supervisors and participation in peer networking or skills workshops. Taking full advantage of these programs can accelerate your learning curve and set you up for career growth and advancement.

What are popular job titles related to New Grad jobs in Conroe, TX?

For New Grad jobs in Conroe, TX, the most frequently searched job titles are:

What cities near Conroe, TX are hiring for New Grad jobs?

Cities near Conroe, TX with the most New Grad job openings:

Infographic showing various New Grad job openings in Conroe, TX as of August 2026, with employment types broken down into 8% As Needed, 67% Full Time, and 25% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $56,889 per year, or $27.4 per hour.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Socket.dev

Houston, TX • On-site

$130 - $170/hr

Other

Posted 5 days ago


Key responsibilities

  • Participate in the development, training, and optimization of deep learning models for autonomous driving, including perception, online mapping, and planning.

  • Engage in the entire machine learning workflow, from data curation and analysis to model experimentation, hyperparameter tuning, and performance verification.

  • Collaborate with simulation, infrastructure, and planning/control teams to deploy, evaluate, and integrate machine learning components into the autonomous trucks' production pipeline.


Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting‑edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start‑up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world‑firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state‑of‑the‑art deep learning models for autonomous driving, with a focus on end‑to‑end architectures, including perception, online mapping, and end‑to‑end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross‑Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench‑test promising SOTA methods to solve real‑world corner cases.
How You'll Grow

This matters as much to us as what you'll ship.

  • You get a real mentor. Every engineer is paired with senior‑level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
QualificationsRequired:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open‑source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self‑motivation, strong analytical and problem‑solving skills, a fast learner in a high‑velocity startup environment, and a strong team‑player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
  • Computer Vision (2D or 3D)
  • Online Mapping, Vectorization, or Visual SLAM
  • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands‑on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.
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