ZipRecruiter

Log In

1

Cs New Grad Jobs (NOW HIRING)

AHMC Healthcare

STAFF NURSE I

Daly City, CA · On-site

$75.84/hr

... assesses "A-B-Cs." b) Initiates appropriate emergency treatment, i.e., CPR, O2, etc. c ... Staff Nurse I - New grad or less than six months Registered Nurse experience. CERTIFICATIONS ...

AHMC Healthcare

STAFF NURSE I

Daly City, CA · On-site

$75.84/hr

... assesses "A-B-Cs." b) Initiates appropriate emergency treatment, i.e., CPR, O2, etc. c ... Staff Nurse I - New grad or less than six months Registered Nurse experience. CERTIFICATIONS ...

AHMC Healthcare

STAFF NURSE I

Daly City, CA

... assesses "A-B-Cs." b) Initiates appropriate emergency treatment, i.e., CPR, O2, etc. c ... Staff Nurse I - New grad or less than six months Registered Nurse experience. CERTIFICATIONS ...

Uasys

LPN (El Dorado, AR)

El Dorado, AR

$23 - $31.25/hr

Department: REP | CS South El Dorado Department's Website: Summary of Job Duties: We are seeking a ... One(1) year of clinical nursing experience or will consider a new grad with a current license and ...

next page

Showing results 1-20

All JobsCs New Grad Jobs

Cs New Grad information

See salary details

$44K

$81.5K

$151K

How much do cs new grad jobs pay per year?

As of Jul 22, 2026, the average yearly pay for cs new grad in the United States is $81,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $99,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science New Graduate, and why are they important?

To thrive as a Computer Science New Grad, you need a solid understanding of programming languages, algorithms, data structures, and typically a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, development environments, and possibly certifications in cloud platforms or software development tools is highly valued. Strong problem-solving skills, effective communication, and a willingness to learn new technologies are standout soft skills. These competencies enable new grads to quickly contribute to projects, adapt to team environments, and grow in a rapidly evolving tech landscape.

What are CS New Grad jobs?

CS New Grad jobs are entry-level positions in the computer science field specifically designed for recent graduates with a bachelor's or master's degree in computer science or a related discipline. These roles typically include titles like Software Engineer, Data Analyst, or Systems Engineer and focus on providing training and mentorship to help new graduates transition from academia to a professional setting. Employers often look for candidates with a strong foundation in programming, problem-solving skills, and a willingness to learn new technologies. CS New Grad positions are a common starting point for building a career in technology.

What types of projects can a Computer Science New Grad expect to work on during their first year?

As a Computer Science New Grad, you can expect to contribute to a range of projects, from developing new features for existing software to assisting with bug fixes and code reviews. Many employers will assign you to a collaborative team where you'll work alongside experienced engineers, gaining exposure to the company's tech stack and codebase. You'll likely participate in regular stand-ups, sprints, and peer programming sessions, which help you ramp up quickly and build valuable professional skills. These experiences allow you to learn best practices in software development and set a strong foundation for future career growth.

What is the difference between Cs New Grad vs Software Engineer?

CriteriaCs New GradSoftware Engineer
Required CredentialsBachelor's degree in CS or related field, internship experienceBachelor's or higher in CS, some roles prefer experience or certifications
Work EnvironmentEntry-level, team-based projects, training programsFull-time, project-driven, may involve more complex systems
Employer & Industry UsageTech companies, startups, internshipsTech firms, software companies, enterprise environments
Search & Comparison IntentYes, often compared for entry-level rolesYes, as a next step or more experienced role

Cs New Grad roles are typically entry-level positions designed for recent graduates with foundational knowledge and internship experience. Software Engineer roles often require more experience or advanced skills but share similar work environments and industry usage. The main difference lies in experience level and expectations, with Cs New Grad positions serving as a stepping stone into the software development field.

More about Cs New Grad jobs
What cities are hiring for Cs New Grad jobs? Cities with the most Cs New Grad job openings:
What states have the most Cs New Grad jobs? States with the most job openings for Cs New Grad jobs include:
What job categories do people searching Cs New Grad jobs look for? The top searched job categories for Cs New Grad jobs are:
Cs New Grad jobs near you
Infographic showing various Cs New Grad job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $81,521 per year, or $39.2 per hour.

Member of Technical Staff - Model Optimization and Inference (New Grad)

Nuance Labs

Seattle, WA

$200K - $300K/yr

Other

Posted 11 days ago

Job description

 About the Role

We can train a great model. The next problem is making it fast enough to actually use in a real-time conversation - and that gap is enormous. A model that responds in 3 seconds is a demo. A model that responds in under 500ms is a product.

We're looking for someone who's excited about taking trained models and squeezing every last millisecond out of them. You understand - or want to deeply understand - the full stack from model weights to serving infrastructure: quantization, KV cache optimization, kernel-level acceleration, batching strategies. You've worked with vLLM, SGLang, or similar frameworks (through coursework, research, internships, or open-source) and have opinions about where they fall short.

This posting is aimed at early-career engineers finishing or recently finished with a BS, MS, or PhD. We don't require a PhD - we care about systems intuition, engineering chops, and the appetite to go deep.

Our stack is more complex than a standard LLM deployment: we're serving a full-duplex multimodal system that must satisfy strict real-time latency constraints. There's a lot of unsolved optimization work here, and we want someone who finds that genuinely exciting and is ready to grow fast alongside people who've built these systems before.

What You'll Do
  • Contribute to end-to-end inference optimization across our model stack - LLMs, audio models, and diffusion-based components
  • Implement and tune KV cache strategies for long-context conversations, including eviction policies, compression, and memory-efficient attention
  • Work with inference serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and extend them for our specific workloads
  • Profile and benchmark end-to-end latency and throughput; identify and systematically eliminate bottlenecks
  • Build internal tooling that makes optimization work faster and more rigorous - profiling viewers, end-to-end inference test harnesses, and other infrastructure that helps the team move quickly
  • Accelerate diffusion model inference - consistency models, step distillation, caching strategies, and custom kernel optimizations
  • Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond) to reduce memory footprint and increase throughput without meaningfully degrading quality
  • Work closely with research and infrastructure to ensure new models ship with optimized serving from day one
What We're Looking For
  • BS, MS, or PhD in CS, ML, or a related field - completed or in the final stretch
  • Strong fundamentals in LLM inference or ML systems - KV caching, memory layout, attention kernels, batching, or serving - picked up through coursework, research, internships, or open-source. You don't need to have shipped at production scale yet; you do need to learn fast and go deep.
  • Exposure to inference serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) - even at a research or hobby level
  • Strong Python and PyTorch skills; familiarity with CUDA or Triton is a significant plus
  • A systematic approach to profiling and optimization - you measure first, then optimize
  • Curiosity about diffusion inference, speculative decoding, quantization, or other inference-time acceleration techniques
Bonus Points
  • Internship or research experience with LLM inference, ML systems, or model serving
  • Contributions to open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.)
  • CUDA / Triton kernel work, even at a research or hobby scale
  • Publications or research projects in MLSys, model compression, or inference optimization
  • Familiarity with multimodal or streaming inference architectures
  • Experience with hard latency SLAs in any real-time system
Compensation

$200,000 - $300,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly.

Apply