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Block Layer Jobs in California (NOW HIRING)

Decagon

Senior Software Engineer, Agent Platform

San Francisco, CA · On-site

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and ... This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low ...

Decagon

Senior Software Engineer, Agent Platform

San Francisco, CA · On-site

$200 - $400/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and ... This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low ...

Decagon

Staff Software Engineer, Agent Platform

San Francisco, CA · On-site

$200K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and ... This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low ...

Etched

Physical Design Engineer

San Jose, CA · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

... layer for the fastest growing industry in history. Job Summary Etched is looking for exceptional Physical Design engineers to join our team. In this role, you will own block-level implementation and ...

The Consensus

Physical Design Engineer

San Jose, CA · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

... layer for the fastest growing industry in history. Job Summary Etched is looking for exceptional Physical Design engineers to join our team. In this role, you will own block-level implementation and ...

Etched

Physical Design Engineer

San Jose, CA · On-site

$150K - $275K/yr

  • Medical

  • Dental

  • Vision

... layer for the fastest growing industry in history. Job Summary Etched is looking for exceptional Physical Design engineers to join our team. In this role, you will own block-level implementation and ...

Broadcom

Senior Serdes System Design Engineer/Architect

Irvine, CA · On-site

$108K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... products in the Physical Layer Products (PLP) Division. You will join a team of expert ... Define and document signal processing block requirements, architecture, and lab test plan * Develop ...

Broadcom

Verification Engineer

San Jose, CA

$159K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and execute verification plans for IP blocks at both block and system levels * Build and ... Knowledge of PHY layers and adaptation techniques * Familiarity with formal verification ...

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Showing results 41-60

All JobsBlock Layer JobsBlock Layer Jobs in California

Block Layer information

See California salary details

$13

$21

$31

How much do block layer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for block layer in California is $21.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.70 per hour, depending on experience, location, and employer.

How much do block layers get paid?

Block layers typically earn between $15 and $25 per hour, depending on experience, location, and the complexity of the project. Skilled block layers with certifications or specialized tools may command higher wages, and the job often involves physical labor and working outdoors.

Is brick laying a good career?

Brick laying is a skilled trade that offers steady employment opportunities and the potential for good wages, especially with experience and certifications. It involves working outdoors with tools like trowels and mortar, often requiring physical strength and attention to detail. Career advancement can include supervisory roles or specialization in certain types of masonry work.

What are the key skills and qualifications needed to thrive in the block layer position, and why are they important?

To excel as a Block Layer, you need strong manual dexterity, attention to detail, and a solid understanding of masonry techniques, often backed by a relevant apprenticeship or vocational training. Familiarity with tools such as trowels, levels, mortar mixers, and safety equipment is essential, along with possible certification in construction site safety. Reliability, teamwork, and good communication skills help differentiate outstanding block layers in both independent and collaborative projects. These qualities ensure projects are completed accurately, efficiently, and safely, meeting both structural standards and client expectations.

What is a block layer?

A Block Layer is a tradesperson who specializes in laying concrete, stone, or clay blocks to construct walls, foundations, and other structures. They follow building plans, mix and apply mortar, and ensure blocks are level and properly aligned. Block Layers work on residential, commercial, and industrial projects, often collaborating with other construction professionals. The job requires physical strength, attention to detail, and knowledge of construction materials and techniques.

What are the typical daily responsibilities of a block layer on a construction site?

Block Layers are responsible for interpreting building plans, measuring and leveling surfaces, and laying concrete blocks in mortar to create walls, partitions, and other structures according to specifications. On a daily basis, they mix mortar, cut blocks to size when necessary, and check the alignment and stability of their work throughout the process. Collaboration with site supervisors, laborers, and other tradespeople is common to ensure construction progresses smoothly and meets safety standards. You’ll also be expected to maintain your tools, adhere to all safety protocols, and occasionally work in varying weather conditions, making adaptability an asset in this role.

What are popular job titles related to Block Layer jobs in California? For Block Layer jobs in California, the most frequently searched job titles are:
What job categories do people searching Block Layer jobs in California look for? The top searched job categories for Block Layer jobs in California are:
Block Layer jobs near you
Infographic showing various Block Layer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 12% Part Time, 2% Temporary, and 10% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $44,655 per year, or $21.5 per hour.

Machine Learning Engineer Remote / SF / Europe • • Models Optimization

Mirai Labs

San Francisco, CA • On-site

$120 - $160/hr

Other

Posted 7 days ago

Job description

Machine Learning Engineer
Models Optimization

Join a small, senior team, building the full on-device stack to achieve realtime local intelligence

At Mirai Labs, we are building an open-source foundational layer for locally hosted, private and user-aligned AI. Our Model Optimization team is focused on pushing the envelope of local LLM inference performance by means of clever algorithmic tricks and post-training model modifications

The role:

We’re hiring a Machine Learning Engineer to work on model optimization pipelines in tight collaboration with our systems engineers.

This is a hybrid research and engineering role, we expect the candidate to come up with new ideas, conduct experiments and build production-grade pipelines.

All of the work will be released as open-source.

You will work on applying post-training modifications to compress and accelerate the existing Large Language Models. The goal is to push the Pareto frontier across latency, accuracy and memory consumption for on-device inference engines.

The job involves analyzing the full inference stack, from hardware to software, looking for opportunities to remove bottlenecks and increase utilization, implementing model compression algorithms and training acceleration adapters.

What we’re looking for in a candidate:
  • Solid knowledge of fundamentals of Machine Learning, Linear Algebra and Statistics
  • Ability to write maintainable Python code
  • Familiarity with LLM inference and standard LLM optimization techniques
  • High-level understanding of GPU architecture and programming model

Nice to have:

  • Systems engineering experience, especially GPU/NPU programming
  • Previous experience working with LLM inference
  • Familiarity with JAX
Some simple problems representative of what we deal with on a daily basis:
  • We have a K-FAC/Shampoo-style Kronecker-factorized approximation of the Fisher information matrix for a linear layer. We have quantized the weights and got a residual r = W - quant(W). Derive a closed-form expression for a LoRA adapter which compensates for the error introduced by quantization.
  • Fast Walsh-Hadamard Transform is a Fourier-like orthogonal transformation that is often used to remove outliers from a vector. For large vectors it is more efficient to apply it block-wise instead of transforming the entire vector. Which block sizes would be the most convenient for a fast GPU implementation?
  • For small models with large vocabularies the naive implementation of top-p sampling via logit sorting can be prohibitively slow. Can you design a more efficient and GPU-friendly sampling scheme?

You’ll work on applied research that directly impacts how AI systems operate in real-world environments, not just benchmarks.

We are a fast-paced horizontal team with a lot of autonomy and trust.

We value technical depth and fast iteration. Competitive compensation + meaningful equity.

Why us?

Founded by proven entrepreneurs who built and scaled consumer AI leaders like Reface (300M users, a pioneer in Generative photo/video AI) and Prisma (100M MAU, a pioneer in on device AI photo enhancement).

Our team is small (16 people), senior, and deeply technical. We ship fast and own problems end-to-end. We’re advised by a former Apple Distinguished Engineer who worked on MLX, and backed by leading AI-focused funds and individuals.

Interested?

Join a small, senior team, building the full on-device stack to achieve realtime local intelligence

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