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300K Engineer Jobs in California (NOW HIRING)

Gamma

AI Engineer

San Francisco, CA · On-site

You'll work closely with engineering and product to ship improvements that millions of users feel ... 180K - $300K plus benefits & equity. Final offer amounts are determined by multiple factors ...

Raydar

Engineer, New Grad

San Francisco, CA · On-site

$300K/yr

The role and why it matters This is a broad new-graduate engineering role for someone with strong ... Total compensation around $300K, including bonus. * Competitive equity and benefits. * Visa ...

Omi AI

Founding Firmware Engineer

San Francisco, CA · On-site

$300K/yr

Grown to 300K software users * Hit 100M+ organic video views * Built 3 working hardware devices Now ... engineer , you'll: * Own firmware for omi devices * Hack other devices to integrate them with omi ...

Raydar

Founding Engineer

San Francisco, CA · On-site

$150K - $300K/yr

We are hiring a Founding Engineer to become the company's first technical hire and build the ... Base salary of $150K-$300K * Founding-team equity of 1% to 4% * Exceptional scope and direct ...

Hired Recruiters

Fullstack Engineer

Los Angeles, CA · On-site

Fullstack Engineer for Together.casa About the Role Together is on a mission to redefine the way we ... Today, we've processed $300k+ in community memberships across over 12 Casas and are on pace to ...

Omi AI

Founding Engineer

San Francisco, CA · On-site

$300K/yr

Grown to 300K software users * Hit 100M+ organic video views * Built 3 working hardware devices Now ... the first engineer , you'll: * Own the full stack (Flutter/React Native, Python, firmware, BLE ...

Raydar

Engineer, New Grad

San Francisco, CA · On-site

$300K/yr

The role and why it matters This is a broad new-graduate engineering role for someone with strong ... Benefits Compensation and benefits • $150K-$220K base salary. • Total compensation around $300K ...

Slope

Mid Market Account Executive

San Francisco, CA · On-site

$250/hr

Sales On Target Yearly Comp $250K - $300K Offers Equity Vapi (/ˈwɑːpi/): * We're creating the ... Technically credible with engineering and product leaders. * Thrives in early‑stage ...

Nuable.io

Full Stack Engineer (Palo Alto)

Palo Alto, CA · On-site

$150K - $300K/yr

Base pay range $150,000.00/yr - $300,000.00/yr Direct message the job poster from Nuable.io Full-Stack Software Engineer (On-Site | Palo Alto | $150k-$300k + Equity) Why You'll Love This Role * On ...

OSI Engineering

Reliability Engineering Lead

Palo Alto, CA · On-site

$300K - $400K/yr

Reliability Engineering Lead Company Overview Company is developing a next-generation AI wearable ... Palo Alto, CA (Hybrid Schedule, 2 days/week in office) Type: Full-time Pay Rate Range: $300K-$400K ...

Idler

Design Engineer

San Francisco, CA · On-site

$125K - $300K/yr

About the role As a Design Engineer at idler, you'll own the visual design and user experience for ... Compensation Range: $125K - $300K

Gerra Group

MACHINE LEARNING ENGINEER

San Francisco, CA · On-site

$210 - $300/hr

COMPENSATION $210K - $300K + 0.15% - 0.45% EQUITY About the Role Training data quality is the ... Strong software engineering fundamentals Nice to Have * Experience with robotics, embodied AI, or ...

Doist

Research Engineer, Semiconductor

Menlo Park, CA · On-site

$250/hr

About the Role As a Research Engineer, Semiconductor, you'll own device‑level validation of our ... 300k + equity Visa sponsorship Yes, we sponsor visas and will do everything we can to assist in ...

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All Jobs300K Engineer Jobs300K Engineer Jobs in California

300K Engineer information

What is a 300k engineer?

A '300K Engineer' typically refers to a highly skilled software engineer or tech professional who earns an annual salary or total compensation of $300,000 or more. These engineers often work at top tech companies, such as FAANG (Facebook, Apple, Amazon, Netflix, Google) or leading startups, and possess advanced skills in software development, system design, or specialized areas like machine learning. Achieving this compensation level usually requires several years of experience, exceptional technical expertise, and sometimes, negotiation skills or working in high-demand geographic areas. Compensation can include base salary, bonuses, and stock options. The term highlights both the earning potential and the competitive nature of top-tier tech roles.

What are the key skills and qualifications needed to thrive as a 300k engineer, and why are they important?

To thrive as a 300K Engineer—a highly compensated, senior-level software engineer—you typically need advanced programming expertise, deep system architecture knowledge, and a track record of delivering robust, scalable solutions, often supported by a computer science degree or equivalent experience. Mastery of modern development frameworks, cloud platforms (like AWS, GCP, or Azure), and proficiency with CI/CD tools are commonly expected, along with relevant certifications. Exceptional problem-solving, leadership, and communication skills set top engineers apart by enabling effective collaboration and influence across teams. These qualifications are critical to driving innovation, maintaining high code standards, and delivering strategic value within technology-driven organizations.

What are some common challenges faced by high-earning engineers, such as 300k engineers, and how can they be addressed?

Engineers earning at the 300K level often face increased expectations regarding leadership, technical expertise, and cross-functional collaboration. Balancing hands-on technical work with mentoring and strategic decision-making can be challenging, as these roles typically require influencing product direction and working closely with executives, product managers, and other senior stakeholders. To succeed, it's important to develop strong communication skills, stay updated on industry trends, and proactively seek feedback. Many high-level engineers find value in building relationships across teams and investing time in developing both their technical depth and soft skills.

What is the difference between 300K Engineer vs Software Developer?

Aspect300K EngineerSoftware Developer
CredentialsBachelor's or higher in Engineering, relevant certificationsBachelor's in Computer Science or related field, certifications optional
Work EnvironmentTech companies, startups, engineering firmsTech firms, startups, software companies
Industry UsageEngineering projects, product development, infrastructureApplication development, web, mobile, enterprise software

The 300K Engineer typically has a background in engineering disciplines and works on complex technical projects, often with a focus on infrastructure or hardware. Software Developers focus on designing, coding, and maintaining software applications. While both roles require technical skills, the 300K Engineer often involves more hardware or systems engineering, whereas Software Developers concentrate on software solutions.

What are popular job titles related to 300K Engineer jobs in California?

For 300K Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching 300K Engineer jobs in California look for?

The top searched job categories for 300K Engineer jobs in California are:

300K Engineer jobs near you
Infographic showing various 300K Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI Engineer

Gamma

San Francisco, CA • On-site

Full-time

Re-posted 24 days ago

Job description

About the role
You'll own the core AI systems that power Gamma: the models, prompts, and pipelines behind text, image, and layout generation. With over 1 million AI-generated presentations and 6 million AI images created every day, this work operates at massive scale. Your job is to elevate quality, evaluate new frontier models, and push into new capabilities and modalities.
This role is about productizing existing foundation models, not training new ones. You'll focus on prompting, evaluating, and fine-tuning for maximum performance across Gamma's product surface. You'll also launch new modalities like voice and video, build the evaluation infrastructure to measure what "good" looks like, and own uptime, latency, and cost across our AI stack. You'll work closely with engineering and product to ship improvements that millions of users feel immediately.
You'll thrive here if you're a tinkerer who loves pushing foundation models to their limits and you're equally comfortable writing prompts and writing production code. If you get excited about mixing prompt engineering with software engineering to unlock new AI capabilities, this is your role.
Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
What you'll do
  • Own Gamma's LLM and image prompts, measuring and continuously improving quality at scale across text, layout, and visual generation
  • Develop complex prompts for new features using AI JSX, balancing creativity with reliability
  • Build evaluation frameworks for prompts and models, combining quantitative metrics with qualitative feedback to create better test sets
  • Drive the AI roadmap based on quality gaps, constantly evaluating new frontier models and methods
  • Curate datasets for fine-tuning open-source models and launch new modalities like voice and video
  • Own analytics, tracking, uptime, latency, and cost across Gamma's AI infrastructure
What you'll bring
  • Proven track record pushing foundation models to their limits, with hands-on experience building and evaluating prompts at scale
  • Proficiency in TypeScript and Python, with a software engineering foundation that lets you move fluidly between prompt engineering and production development
  • Strong data instincts: experience writing evals, designing metrics, and translating qualitative feedback into measurable, actionable improvements
  • Self-sufficient in gathering and cleaning data to inform prompt improvements and model evaluations
  • Experience with modern LLMs and image models such as Flux and Imagen (Nice to have)
  • Familiarity with AI tooling like AI JSX for prompting and Braintrust for evaluations (Nice to have)

Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $300K plus benefits & equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

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