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Infrastructure Planning Jobs in California (NOW HIRING)

Ulteig

Senior Urban Planner

Los Angeles, CA · On-site

Evaluate and recommend changes to infrastructure planning procedures, zoning ordinances, land use policies, and development regulations. * Monitor, interpret, and stay current on local, state, and ...

Ulteig

Senior Urban Planner

Los Angeles, CA · On-site

Evaluate and recommend changes to infrastructure planning procedures, zoning ordinances, land use policies, and development regulations. * Monitor, interpret, and stay current on local, state, and ...

Ulteig

Senior Urban Planner

Los Angeles, CA · On-site

Evaluate and recommend changes to infrastructure planning procedures, zoning ordinances, land use policies, and development regulations. * Monitor, interpret, and stay current on local, state, and ...

LEGEND PICTURES LLC

Infrastructure Engineer

Burbank, CA · Hybrid

$95K - $115K/yr

Balances production support urgency with long-term infrastructure planning. * Demonstrates a proactive, solutions-driven mindset. More Information Legendary Entertainment is an equal opportunity ...

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Infrastructure Planning information

See California salary details

$79.4K

$152K

$195.4K

How much do infrastructure planning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for infrastructure planning in California is $152,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $194,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in infrastructure planning?

To thrive in Infrastructure Planning, you need a solid background in civil engineering, urban planning, or a related field, along with expertise in project management and spatial analysis. Familiarity with GIS software, CAD tools, and relevant certifications such as PMP or PE can be highly beneficial. Strong communication, problem-solving, and collaboration skills help navigate complex stakeholder requirements and facilitate efficient project delivery. Mastering these skills ensures successful infrastructure initiatives that align with regulatory standards, budget constraints, and community needs.

What is an infrastructure planning?

An Infrastructure Planning job involves analyzing, designing, and coordinating the development of essential systems such as transportation, utilities, and communications. Professionals in this role assess current infrastructure, forecast future needs, and develop plans to ensure efficient, sustainable growth. They work with government agencies, private organizations, and stakeholders to optimize resources and implement strategic projects. Strong analytical, problem-solving, and project management skills are essential for success in this field.

How to become an infrastructure planning specialist?

To become an infrastructure planning specialist, typically a bachelor's degree in civil engineering, urban planning, or a related field is required. Gaining experience through internships or entry-level positions, developing skills in project management and GIS software, and obtaining relevant certifications such as the Project Management Professional (PMP) can enhance career prospects.

What are the main challenges faced by infrastructure planning professionals and how do they overcome them?

Infrastructure Planning professionals often face challenges such as coordinating with multiple stakeholders, managing project timelines within budget constraints, and navigating complex regulatory requirements. These professionals overcome challenges by fostering clear communication between government agencies, contractors, and community members, and by using advanced software tools to support data-driven decisions. They also stay up-to-date with changing regulations and best practices to ensure compliance throughout the planning process. Successful Infrastructure Planners combine technical expertise with strong organizational skills to balance priorities and deliver sustainable solutions for growing communities.

What does infrastructure planning mean?

Infrastructure planning is the process of designing and organizing the development of physical systems such as transportation, utilities, and communication networks to support community or organizational needs. It involves assessing current infrastructure, forecasting future requirements, and coordinating resources to ensure reliable and efficient operations. Professionals in this field often use tools like GIS and require knowledge of engineering standards and project management.
What are the most commonly searched types of Infrastructure Planning jobs in California? The most popular types of Infrastructure Planning jobs in California are:
What are popular job titles related to Infrastructure Planning jobs in California? For Infrastructure Planning jobs in California, the most frequently searched job titles are:
What job categories do people searching Infrastructure Planning jobs in California look for? The top searched job categories for Infrastructure Planning jobs in California are:
Infrastructure Planning jobs near you
Infographic showing various Infrastructure Planning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $152,011 per year, or $73.1 per hour.

Machine Learning Compute Efficiency Lead, Infrastructure & Planning

Apple

Cupertino, CA • On-site

Full-time

Re-posted 19 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company.
As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple's models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving.
We are seeking a Senior Architect with deep expertise in ML infrastructure to act as a linchpin for Apple's foundational inference strategy. You will be instrumental in defining, establishing, and monitoring compute efficiency metrics across the software engineering organization. By partnering closely with model developers and infrastructure providers, your work will directly reduce serving costs, shape core engineering decisions, and enable the highly efficient, scalable inference required to power Apple Intelligence for hundreds of millions of users.
Description
- Own and support ML compute management for Apple's inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving.
- Collaborate closely with Apple Intelligence and ML engineering teams to understand roadmaps and resource pain points to develop and implement resource strategies.
- Optimize Apple's ML workloads by driving performance improvements, maximizing resource utilization, and reducing service costs through deep root cause analysis that shapes both engineering decisions and the end customer experience.
- Architect solutions for large-scale optimization problems, including capacity allocation, workload scheduling, and cost reduction, enabling Apple's AI-driven experiences.
- Advocate on behalf of Apple's ML engineers to bring a consolidated view of ML platform and model inference requirements to Apple's internal infrastructure platform providers and 3rd party public cloud providers.
Minimum Qualifications
BS in Computer Science, Computer Engineering, or equivalent practical experience
7+ years in ML infrastructure, systems architecture, or efficiency/optimization roles at scale
Strong conceptual understanding of foundation model inference/serving at scale and distributed training (data/tensor/pipeline parallelism), GPU/TPU utilization, memory hierarchies, and cluster scheduling
AI-fluent and capable of quickly adapting to AI workflows and empowerment
Proven track record of driving complex cross-org technical initiatives through influence, not authority
Strong analytical skills with experience designing or interpreting utilization analyses, capacity models, or efficiency metrics
Clear written and verbal communication, comfortable presenting to VPs and white-boarding with senior ML engineers
Preferred Qualifications
MS or PhD in a relevant field
Direct experience with foundation model serving, inference, and training at scale
Familiarity with PyTorch, JAX, cluster management (Slurm, Kubernetes), or GPU/TPU hardware
Prior experience in efficiency, FinOps, or capacity planning
Experience negotiating technical roadmaps with platform or infrastructure teams
Background in technical and financial decision-making (TCO modeling, cost optimization)

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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