ZipRecruiter

Log In

1

400K Engineer Jobs (NOW HIRING)

HireEazy

iOS / Swift Software Engineer

San Francisco, CA · On-site

$61 - $84/hr

The Role: We're seeking a Staff iOS Engineer to lead our mobile client development. We will also be ... 400K cash compensation • Day 1 impact on partner products used by millions globally • Shape ...

talentpluto

RL Environment Software Engineer

$220K - $400K/yr

Applied AI / AI research data Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share) About the Company Our partner is a fast-growing applied AI research lab that builds high-quality ...

talentpluto

RL Environment Software Engineer

$220K - $400K/yr

Applied AI / AI research data Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share) About the Company Our partner is a fast-growing applied AI research lab that builds high-quality ...

talentpluto

RL Environment Software Engineer

$220K - $400K/yr

Applied AI / AI research data Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share) About the Company Our partner is a fast-growing applied AI research lab that builds high-quality ...

Hired Recruiters

Software Engineer II

San Francisco, CA · On-site

$114K - $157K/yr

As a Software Engineer II, working on our data systems, you will help us to determine what 300M ... 400k+ communities in our network. With this knowledge, you will enable Fandom to build the rich ...

Moment Technology

Security Engineer

New York, NY · On-site

$200K - $400K/yr

Security Engineer Build the future of investment management with us The infrastructure managing ... Base salary: $200K to $400K * Equity: aggressive initial grant + annual performance-based bonuses

Hired Recruiters

Software Engineer II

San Francisco, CA · On-site

$114K - $157K/yr

As a Software Engineer II, working on our data systems, you will help us to determine what 300M ... 400k+ communities in our network. With this knowledge, you will enable Fandom to build the rich ...

Idler

Software Engineer

San Francisco, CA · On-site

$125K - $400K/yr

About the role As a Software Engineer at idler, you'll build the systems and infrastructure that ... Compensation Range: $125K - $400K

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$200 - $250/hr

You will be working with our engineering and product teams to design, build and productionise ... Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k ...

next page

Showing results 1-20

All Jobs400K Engineer Jobs

400K Engineer information

See salary details

$21K

$149.2K

$224.5K

How much do 400k engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 400k engineer in the United States is $149,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $175,000.00 per year, depending on experience, location, and employer.

What is a 400k engineer?

A 400K Engineer is a software engineer or tech professional who earns a total annual compensation of $400,000 or more, typically through a combination of base salary, bonuses, and stock options. These high earnings are usually found at top tech companies such as FAANG (Facebook, Apple, Amazon, Netflix, Google) or other leading firms. Achieving this level of compensation generally requires a mix of experience, specialized skills, negotiation, and sometimes working in high cost-of-living locations. The title is not an official job position but rather refers to a compensation milestone within the tech industry.

How does a 400k engineer typically collaborate with cross-functional teams to deliver high-impact projects?

A 400K Engineer is often expected to work closely with product managers, designers, and other engineers to drive complex projects from ideation to launch. This role involves not only technical expertise but also strong communication skills to align stakeholders and ensure project requirements are clearly understood. Collaboration might include participating in architecture reviews, code reviews, sprint planning, and strategy meetings. Being proactive in sharing knowledge and mentoring junior team members is also common, contributing to overall team success.

What are the key skills and qualifications needed to thrive as a 400k engineer, and why are they important?

To thrive as a 400K Engineer, you need a solid background in electrical engineering, with expertise in high-voltage power systems design and analysis, often supported by a bachelor's degree and relevant certifications like a Professional Engineer (PE) license. Familiarity with industry-standard tools such as AutoCAD, ETAP, and power system simulation software is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills in this role. These skills and qualifications are important to ensure the safe and efficient design, operation, and maintenance of high-voltage electrical systems.

What is the difference between 400K Engineer vs Software Developer?

Aspect400K EngineerSoftware Developer
CredentialsTypically requires a bachelor's or master's in CS or related field, with extensive experienceUsually holds a bachelor's degree in CS or related field
Work EnvironmentHigh-level technical roles, often in tech firms, startups, or financeDevelops software applications across various industries
Industry UsageCommon in tech, finance, and consulting sectorsWidely used across tech, healthcare, finance, and more

The 400K Engineer and Software Developer roles share foundational skills in programming and problem-solving. However, 400K Engineers typically have more experience, higher compensation, and focus on system architecture or high-level technical leadership, whereas Software Developers focus on coding and application development. Both roles are essential in tech-driven industries, but the 400K Engineer often operates at a senior or specialized level.

More about 400K Engineer jobs

What cities are hiring for 400K Engineer jobs?

Cities with the most 400K Engineer job openings:

What states have the most 400K Engineer jobs?

States with the most job openings for 400K Engineer jobs include:

What are popular job titles related to 400K Engineer jobs?

For 400K Engineer jobs, the most frequently searched job titles are:

400K Engineer jobs near you
Infographic showing various 400K Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $149,214 per year, or $71.7 per hour.

Machine Learning Infrastructure Engineer

San Francisco, CA • On-site

David Joseph & Company
See more jobs at David Joseph & Companyexternal

$200K - $400K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Design, deploy, and maintain large distributed ML training and inference clusters

  • Build efficient, scalable end-to-end pipelines to manage petabyte-scale datasets and training processes

  • Profile and debug low-level GPU operations to optimize performance

Job description

Machine Learning Infrastructure Engineer

San Francisco, CA · On-site (5 days/week) · Full-time
Compensation: $200K–$400K + competitive early-stage equity

About the Company

Our client is a Series A AI research lab building large-scale foundation models for scientific and physical-AI domains. Backed by top-tier investors, they are pursuing a deliberately non-consensus technical thesis and are among the best-funded teams in their space. The founding team comes from self-driving, robotics, and scientific research, and they are scaling their research and engineering org significantly this year.

Founded 2024 · Small, fast-growing team · Industry: AI / foundation models / physical AI

The Role

You would own the distributed training and inference backbone for a foundation model trained from scratch — standing up clusters, building data and training pipelines at petabyte scale, and squeezing performance out of GPUs at a low level across model scales.

What you'll be doing

  • Design, deploy, and maintain large distributed ML training and inference clusters
  • Build efficient, scalable end-to-end pipelines to manage petabyte-scale datasets and training across the full ML lifecycle
  • Research and test training approaches, including parallelization techniques and numerical-precision trade-offs across model scales
  • Profile and debug low-level GPU operations to optimize performance
  • Track new research and bring fresh ideas into the work

Tech stack: Distributed training frameworks (FSDP, DeepSpeed), NVIDIA GPUs, Linux, Python, C++, Kubernetes/Docker, and a major cloud platform (GCP, AWS, or Azure).

Requirements
  • 2–10 years building large-scale ML infrastructure for core foundation models
  • Hands-on experience building infrastructure for foundation models trained from scratch, rather than fine-tuning existing models
  • A background at a science-focused or physical-AI company (for example self-driving, robotics, or biology)
  • Deep, demonstrable expertise optimizing large-scale training and inference workloads
  • Working proficiency with distributed training frameworks such as FSDP or DeepSpeed
  • A clear pattern of intentional, mission-driven career decisions
  • Able to work on-site 5 days/week in San Francisco (relocation supported)
Nice to Haves
  • Generalist experience spanning the full ML lifecycle
  • Low-level GPU performance optimization and debugging (CUDA, JAX)
Why Join
  • Take a bet on a distinctive, non-consensus approach to building intelligence
  • Join early, with real ownership of the training and inference backbone
  • Work in a domain with fast, objective ground-truth feedback and data at a scale beyond typical LLM training
  • Well-funded and building a strong, senior research and engineering team
Details
  • Location: San Francisco, CA
  • Work policy: In-person 5 days/week (relocation supported)
  • Compensation: $200K–$400K + competitive early-stage equity
  • Visa sponsorship: Open to supporting work authorization for the right candidate
  • Employment type: Full-time