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Entry Level Computer Science Jobs in Sugar Land, TX

Harris County

IBIS Support Technician

Houston, TX

$31K/yr

... Science. Brief IBIS Support Technician Overview: The IBIS Support Technician is an entry-level ... simultaneously Basic computer skills including Microsoft Office NOTE: Qualifying education ...

Harris County

IBIS Support Technician

Houston, TX

$31K/yr

... Science. Brief IBIS Support Technician Overview: The IBIS Support Technician is an entry-level ... simultaneously Basic computer skills including Microsoft Office NOTE: Qualifying education ...

Pwc

SAP BRIM Consultant, Senior Associate

Houston, TX · On-site

$77K - $202K/yr

Business Administration/Management, Computer Science/Information Systems - Demonstrating ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Harris County, TX

IBIS Support Technician

Houston, TX · On-site

... Science. Brief IBIS Support Technician Overview: The IBIS Support Technician is an entry-level ... Basic computer skills including Microsoft Office NOTE : Qualifying education, experience, knowledge ...

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Entry Level Computer Science information

What are entry level computer science jobs?

Entry-level computer science jobs include positions that involve programming, software and app development, database administration, and the engineering of software and computer systems. You can also provide technical support, develop specialized programs for mobile phones or embedded computer systems, and work in areas such as cloud computing and machine learning. Entry-level computer science professionals typically operate as part of software development or IT teams, or they report to senior personnel and submit their work for testing and approval. Your duties and responsibilities often focus on developing, testing, or engineering a specific part of a computer-related project.

What are the key skills and qualifications needed to thrive as an entry level computer science professional?

To thrive as an Entry Level Computer Science professional, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, basic software development tools, and potentially certifications like CompTIA IT Fundamentals can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to new challenges. These skills are crucial for efficiently developing, testing, and maintaining software solutions in a team-oriented and rapidly evolving technical environment.

What types of projects or tasks can I expect to work on as an entry level computer science professional?

As an entry level computer science professional, you will typically work on tasks such as debugging code, writing simple programs or scripts, assisting with software testing, and supporting senior developers with larger projects. You may also be responsible for maintaining documentation, collaborating with team members during code reviews, and learning new technologies as needed. These experiences help you build a strong foundation and gain practical skills, setting the stage for more complex responsibilities and career advancement in the future.

What is the difference between Entry Level Computer Science vs Software Developer?

AspectEntry Level Computer ScienceSoftware Developer
Required CredentialsBachelor's in CS or related fieldBachelor's in CS or related field; coding bootcamps
Work EnvironmentTech companies, startups, IT departmentsTech firms, software companies, startups
Employer & Industry UsageEntry-level roles in various industriesDeveloping software applications across industries
Common Search & ComparisonYesYes

Entry Level Computer Science roles typically focus on foundational knowledge and may involve a variety of IT tasks, while Software Developer positions emphasize designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but Software Developers usually have more specialized coding skills and project responsibilities.

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What are the most commonly searched types of Computer Science jobs in Sugar Land, TX?

The most popular types of Computer Science jobs in Sugar Land, TX are:

What are popular job titles related to Entry Level Computer Science jobs in Sugar Land, TX?

For Entry Level Computer Science jobs in Sugar Land, TX, the most frequently searched job titles are:

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The top searched job categories for Entry Level Computer Science jobs in Sugar Land, TX are:

What cities near Sugar Land, TX are hiring for Entry Level Computer Science jobs?

Cities near Sugar Land, TX with the most Entry Level Computer Science job openings:

Entry Level Computer Science jobs near you
Infographic showing various Entry Level Computer Science job openings in Sugar Land, TX as of August 2026, with employment types broken down into 43% Full Time, 48% Part Time, and 9% Contract. Highlights an 100% In-person job distribution.

Reinforcement Learning Engineer, Grasping

Persona AI

Houston, TX • On-site

Other

Medical, PTO

Re-posted 29 days ago

Job description

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
Role Overview:
We are looking for a Reinforcement Learning Engineer to join our Manipulation team, focused on dexterous grasping. Our goal is to ship capable, reliable grasping policies on real hardware with high-DOF robotic hands. We are looking for someone who can follow recent advances in reinforcement learning and related learning-based methods, judge what is practically useful, and adapt those ideas on our platform. If you are earlier in your career but exceptional, we want to hear from you; equally, a more experienced candidate who brings deep RL expertise will thrive here.
Your Role:
  • Train and iterate on reinforcement learning policies for complex grasping tasks including functional grasping, tool use, in-hand manipulation, and environment interaction.
  • Implement and refine sim-to-real transfer pipelines to bridge the gap between simulation and physical robotic hand performance.
  • Develop reward functions, curriculum strategies, and training environments in MuJoCo and Isaac Lab.
  • Run experiments on real robots alongside simulation, evaluating and debugging policy behavior on hardware.
  • Monitor, evaluate, and adapt state-of-the-art research in learning-based grasping to deploy on our humanoid platform.
  • Collaborate with the rest of the software team to deploy end-to-end grasping systems.
  • Benchmark and evaluate grasp policies across object diversity, clutter scenes, and real-world uncertainties.
  • Integrate tactile sensing and feedback into grasp policies for robust, force-aware manipulation.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, Machine Learning, or a related field.
  • 2+ years of hands-on experience in reinforcement learning for robotic manipulation; exceptional entry level candidates from relevant research labs will be considered.
  • Demonstrated ability to read, understand, and implement ideas from recent robotics and machine learning research.
  • Hands-on experience training RL agents for robotic manipulation tasks, including reward shaping and policy evaluation.
  • Experience with sim-to-real transfer: domain randomization, physics tuning, or real-world policy validation on hardware.
  • Proficiency in Python and deep learning frameworks (PyTorch, JAX), along with RL libraries such as rsl_rl or skrl.
  • Experience preparing meshes and collision geometries for RL environments in simulators such as MuJoCo and/or Isaac Sim.

Bonus Qualifications:
  • Experience deploying RL-trained policies on physical robotic hands.
  • Experience with tactile sensors and integrating tactile feedback into learned grasp policies.
  • Experience with contact-rich manipulation and force/torque estimation.
  • Familiarity with other learning-based approaches such as behavior cloning, imitation learning, or diffusion-based policy methods.
  • Publications or project work at top-tier venues (CoRL, RSS, ICRA) on grasping or dexterous manipulation.
  • Experience in a humanoid robot startup environment.

Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, collaboration, and continuous learning.
  • Enjoy full access to advanced tools, hardware labs, and the freedom to push the boundaries of what robots can do.
    Persona AI is an Equal Opportunity Employer.
    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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