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Contract Compiler Engineer Jobs in California (NOW HIRING)

Contract Note: Required #USC #GC (1099, W2 &C2C Own corp) Roles & Responsibilities * Required 10+ ... Interact and work with Backend engineers on designing API request and response * Effective ...

Contract Note: Required #USC #GC (1099, W2 &C2C Own corp) Roles & Responsibilities * Required 10+ ... Interact and work with Backend engineers on designing API request and response * Effective ...

Perform troubleshooting to diagnose application problems, including: compiler linkage errors, run ... Contract Salary: $80,000.00 /year Required education: * Bachelor's Required experience: * Developer ...

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Contract Compiler Engineer information

What is a contract compiler engineer?

Contract Compiler Engineers are specialized software engineers who design, develop, and maintain compilers for smart contracts, often in blockchain environments. They ensure that smart contract code written in high-level languages (like Solidity) is accurately and efficiently translated into bytecode that can run on blockchain platforms (such as Ethereum). Their work is crucial for the secure and reliable execution of decentralized applications. These engineers typically have strong programming skills, deep knowledge of compiler theory, and an understanding of blockchain technologies.

What are the key skills and qualifications needed to thrive as a contract compiler engineer?

To thrive as a Contract Compiler Engineer, you need a strong background in computer science, compiler theory, and smart contract development, often supported by a degree in a related field. Expertise in programming languages like Solidity, Rust, or C++, familiarity with blockchain platforms (such as Ethereum), and experience using tools like LLVM or EVM are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are essential for building secure, efficient compilers that enable reliable smart contract execution on blockchain networks.

What are some typical challenges a contract compiler engineer faces when optimizing smart contract code for blockchain platforms?

Contract Compiler Engineers often encounter challenges related to ensuring smart contracts are both secure and efficient, given the resource limitations of blockchain platforms. They must carefully optimize code to reduce gas consumption without introducing vulnerabilities or breaking contract logic. Additionally, adapting compilers to support new blockchain protocols or languages can require deep knowledge of both compiler theory and the unique standards of decentralized systems. Collaboration with security auditors and blockchain developers is also crucial to ensure contract integrity and performance.

What are the most commonly searched types of Compiler Engineer jobs in California?

The most popular types of Compiler Engineer jobs in California are:

What are popular job titles related to Contract Compiler Engineer jobs in California?

For Contract Compiler Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Contract Compiler Engineer jobs in California look for?

The top searched job categories for Contract Compiler Engineer jobs in California are:

What cities in California are hiring for Contract Compiler Engineer jobs?

Cities in California with the most Contract Compiler Engineer job openings:

Infographic showing various Contract Compiler Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Systems Engineer - Signal Processing, Algorithms and Characterization

Mythic

Palo Alto, CA

$150K - $275K/yr

Full-time

Re-posted 15 days ago


Job description

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

Mythic's analog compute hardware is a massive integration of analog and digital components on a single chip, with multiple cascaded digital and analog stages. The fundamental compute atomic is a vector-product that is entirely processed in the analog domain. So, analog impairments like ADC/DAC non-linearity and weight-noise directly impact the accuracy of the vector-multiply operation. Mitigation techniques for these impairments thus become critical and is the realm that the Systems Engineer operates in. Therefore, the Systems Engineer role maps directly onto skills from RF baseband, high-speed digital communication system design and RF sensing- think Wi-Fi, SerDes, gigabit Ethernet and sensor signal processing. 

The Systems Engineering team
  • Sits at the intersection of Analog, AI, Firmware and Silicon Productization,

  • Models analog effects and their impact on neural network performance.

  • Develops signal-processing based solutions to mitigate impact of analog impairments on neural network accuracy

  • Works cross-functionally to validate, debug, and optimize analog compute hardware.

  • Contributes to the design of next-generation hardware.

  • Brings up new silicon, characterizes silicon performance and develops effective approaches for silicon screening

  • Builds frameworks for large-scale data capture and statistical error analysis for analog compute in the simulation domain and on actual silicon hardware

Here's what you will do
  • Own various aspects of algorithms and DSP blocks that optimize the performance of Mythic's unique analog compute-in-memory technology from concept to customer deployment. This includes calibration loops, non-linearity compensation, offset-correction and estimation of residual-errors.

  • Work with model-training, compiler and firmware teams to productize these algorithms.

  • Write and modify firmware as needed to productize/debug algorithms

  • Continually improve on the fidelity of our modeling and simulation environment to better predict silicon performance.

  • Correlate errors seen on silicon to simulation models and contribute to improving the fidelity of our models for analog compute.

  • Develop Python frameworks for data collection, error-analysis and quantify impact of analog impairments on neural-network accuracy

  • Silicon bring-up, Characterization and Performance-Optimization.

Here's the background you need to have
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Mathematics, Physics or a related field.

  • At least 5 years experience in production DSP or RF baseband engineering (< 3 years if Ph.D or M.S.)

  • Strong familiarity with production Python coding, including object oriented and/or functional programming

  • Strong familiarity with core DSP concepts, including frequency domain analysis, filtering, statistical signal processing and estimation theory

  • Track record of shipping silicon with DSP or RF/Analog sub-systems. 

  • Understanding of linear algebra concepts, including matrix math and linear regression. 

  • Comfort with large-scale collection and processing of signals. 

  • Commitment to quality and engineering excellence.

  • Strong communication skills.

The following would be nice to have
  • MS/PhD in Electrical Engineering, Computer Science, Mathematics, Physics or related field.

  • Experience with RF calibration and silicon-bringup in the high-speed communication space

  • Strong familiarity with NumPy/SciPy (or experience with Numpy and strong familiarity with MATLAB for DSP).

  • Familiarity with state-of-the-art neural network architectures

$150,000 - $275,000 a year
Compensation is based on a variety of factors, including but not limited to: location, education, and years of experience.
At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs.

Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

We look forward to reviewing your application!
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