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Jr Engineer Jobs in Berkeley, CA (NOW HIRING)

Jobsbridge

Jr.UX Designer

San Francisco, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities Design high-level user interfaces based on wireframes and ...

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All JobsJr Engineer JobsJr Engineer Jobs in Berkeley, CA

Jr Engineer information

See Berkeley, CA salary details

$41K

$87.9K

$134.1K

How much do jr engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for jr engineer in Berkeley, CA is $87,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $98,000.00 per year, depending on experience, location, and employer.

What is a Jr Engineer?

Jr Engineers, or Junior Engineers, are entry-level professionals who assist in designing, developing, and maintaining engineering projects under the supervision of senior staff. They typically perform tasks such as drafting plans, conducting tests, collecting data, and troubleshooting issues in their field of engineering. Jr Engineers gain hands-on experience while learning industry standards and best practices, and their role serves as a foundation for career growth in engineering. They usually have a relevant degree or diploma and may work in fields like civil, mechanical, electrical, or software engineering.

What are the key skills and qualifications needed to thrive as a Jr Engineer?

To thrive as a Jr Engineer, you need a solid understanding of engineering fundamentals, problem-solving abilities, and a relevant degree in engineering or a related field. Familiarity with industry-standard software like AutoCAD, MATLAB, or SolidWorks, and an understanding of project management tools or safety standards, is often required. Strong communication, teamwork, and a willingness to learn are essential soft skills that help Jr Engineers grow and adapt. These skills enable Jr Engineers to contribute effectively to projects, collaborate with senior staff, and develop professionally within engineering teams.

What are some common challenges faced by Jr Engineers when transitioning from academic projects to real-world engineering tasks?

Jr Engineers often find that real-world engineering projects involve more collaborative work, tighter deadlines, and the need to follow established processes and documentation standards compared to academic assignments. Adjusting to working within a team, understanding project management tools, and effectively communicating with senior engineers and other departments can be challenging at first. However, with mentorship and hands-on experience, Jr Engineers quickly develop these skills and become valuable contributors to their teams.

What is the difference between Jr Engineer vs Mechanical Engineer?

AspectJr EngineerMechanical Engineer
Required CredentialsDiploma or Bachelor's in EngineeringBachelor's or higher in Mechanical Engineering
Work EnvironmentEntry-level, supervised tasks, site or officeDesign, analysis, project management, often more autonomous
Employer & Industry UsageConstruction, manufacturing, engineering firmsDesign firms, manufacturing, R&D, industrial sectors

Jr Engineers typically hold diplomas or bachelor's degrees and perform supervised tasks in construction or manufacturing environments. Mechanical Engineers usually have a bachelor's or higher degree and handle design, analysis, and project management roles. While Jr Engineers focus on learning and supporting projects, Mechanical Engineers take on more complex responsibilities and autonomous work.

How do I become a junior engineer?

To become a junior engineer, typically you need a relevant bachelor's degree in engineering or a related field. Gaining practical experience through internships or entry-level positions, developing technical skills, and obtaining certifications can improve your chances of securing a junior engineering role.

What are popular job titles related to Jr Engineer jobs in Berkeley, CA?

For Jr Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Jr Engineer jobs in Berkeley, CA look for?

The top searched job categories for Jr Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Jr Engineer jobs?

Cities near Berkeley, CA with the most Jr Engineer job openings:

Jr Engineer jobs near you
Infographic showing various Jr Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $87,914 per year, or $42.3 per hour.

Staff Engineer, Inference Optimizations

DigitalOcean

San Francisco, CA • On-site

$191K - $239K/yr

Full-time

Re-posted 10 days ago

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our AI Inference Optimization team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world's most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.
What You'll Do:
  • Performance Architecture: Lead the technical strategy for benchmarking and performance optimizations at the inference engine and GPU kernel layers, ensuring our infrastructure extracts maximum value from every TFLOP.
  • Deep-Dive Optimization: Engineer solutions for complex performance issues, including attention layer optimizations, memory and precision management, and advanced parallelization across multi-node GPU clusters.
  • Technological Innovation: Proactively implement cutting-edge optimization techniques to keep DigitalOcean at the forefront of the Gen AI landscape. Some examples of projects you may work on:
    • Improving batch size performance using AMD's AITER library for AMD MI355X - identify and tune AITER's CK (composable kernel) or ASK (assembly) to optimize FP8 / BF16
    • Identify kernel fusion opportunities for GLM-5 kernels for different layers of the Transformer block (FlashAttention, RMS Norm)
    • Tune expert gateway router kernels for MoE models like Qwen3-235B, DeepSeek V3, GLM-5 etc
  • Hardware & Ecosystem Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton), advising on hardware procurement and software integration.
  • Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
  • Technical Mentorship: Lead by example through high-quality code and design reviews, elevating the technical bar for the team without the administrative overhead of direct management.
  • Strategic Collaboration: Partner with Product Management and TPMs to translate "theoretical hardware limits" into "shippable product features," ensuring our platform is both powerful and developer-friendly.
  • Community Leadership: Maintain a strong presence in the GPU infrastructure and model performance optimization communities, contributing to and integrating the best of open-source AI.
What You'll Bring to DigitalOcean:
  • Technical Depth: 5+ years of experience in high-performance computing or AI infrastructure, with a proven track record of solving compute utilization and memory bandwidth bottlenecks.
  • Gen AI Literacy: Deep familiarity with the Gen AI (LLM, VLM, LMM) landscape, including the specific quirks and architectural requirements of major model families.
  • Optimization Expert: Hands-on experience with attention-layer optimizations and parallelization strategies across distributed GPU environments.
  • Hardware Fluency: Comprehensive understanding of NVIDIA and AMD GPU architectures and their respective software ecosystems (CUDA, ROCm, etc.).
  • Open Source Mastery: Extensive experience integrating, building with, and contributing to open-source software projects.
  • Systems Design: Excellent system design skills, particularly related to low-level GPU programming - optimization, memory access patterns, and parallel execution.
  • Leadership through Influence: Experience acting as a technical lead, driving design and delivery through cross-functional alignment and expert-level delegation.
  • Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
  • The Toolkit: Expert-level Triton or CUDA. If you've contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
Compensation Range:
  • $191,200 - $239,000

*This is a remote role
JR: 2026-7625
#LI-Remote
Why You'll Like Working for DigitalOcean
  • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

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