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Home Based Remote Algorithms Engineer Jobs in California

Hitachi

High Voltage Test Engineer

Santa Fe Springs, CA · Remote

$105K - $158K/yr

If based Earth City, MO travel expectations are 40%-50%, If based remote, travel expectations ... Life and Family (Legal, pet, auto, home, identity theft, etc.), special needs support, and adoption ...

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Home Based Remote Algorithms Engineer information

What is a home based remote algorithms engineer?

Home Based Remote Algorithms Engineers are professionals who design, develop, and optimize algorithms while working remotely from their home or any other location outside a traditional office. Their work often involves solving complex computational problems, improving software efficiency, and applying mathematical models to real-world challenges. They may work in industries like technology, finance, healthcare, or artificial intelligence, collaborating with teams online and using various programming languages. This role requires strong analytical skills, proficiency in programming, and the ability to communicate technical concepts effectively in a remote environment.

What are some common challenges faced by home based remote algorithms engineers, and how can they be effectively managed?

Home Based Remote Algorithms Engineers often face challenges such as limited real-time collaboration, managing complex projects independently, and maintaining clear communication with distributed teams. To overcome these obstacles, it is important to leverage collaboration tools (like Slack or GitHub), set regular check-ins with team members, and establish clear documentation practices. Proactively seeking feedback and participating in virtual code reviews also helps maintain alignment and ensures code quality while working remotely.

What is the difference between Home Based Remote Algorithms Engineer vs Data Scientist?

AspectHome Based Remote Algorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Math, or related field; experience with algorithms and programmingBachelor's or Master's in Data Science, Statistics, or related field; proficiency in analytics tools
Work EnvironmentRemote, project-based, focused on algorithm developmentRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, software development companiesTech, finance, healthcare, marketing

Home Based Remote Algorithms Engineers focus on designing and optimizing algorithms, often requiring programming and mathematical skills. Data Scientists analyze data to extract insights, using statistical and machine learning techniques. While both roles can be remote and require similar educational backgrounds, their core responsibilities differ: algorithms engineers develop solutions, whereas data scientists interpret data.

What are the key skills and qualifications needed to thrive as a home based remote algorithms engineer?

To thrive as a Home Based Remote Algorithms Engineer, you need a deep understanding of mathematics, computer science fundamentals, and experience in algorithm design, often backed by a relevant degree. Proficiency with programming languages such as Python or C++, version control systems like Git, and familiarity with cloud-based collaboration tools are typically required. Strong problem-solving skills, self-motivation, and effective written communication are critical for remote teamwork and independent project delivery. These competencies ensure you can develop efficient algorithms, collaborate remotely, and meet project goals in a distributed work environment.
What are popular job titles related to Home Based Remote Algorithms Engineer jobs in California? For Home Based Remote Algorithms Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Home Based Remote Algorithms Engineer jobs in California look for? The top searched job categories for Home Based Remote Algorithms Engineer jobs in California are:
What cities in California are hiring for Home Based Remote Algorithms Engineer jobs? Cities in California with the most Home Based Remote Algorithms Engineer job openings:
Home Based Remote Algorithms Engineer jobs near you
Infographic showing various Home Based Remote Algorithms Engineer job openings in California as of June 2026, with employment types broken down into 5% Full Time, 93% Part Time, and 2% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior / Staff Software Engineer, High-Performance Onboard Algorithms

Waabi

San Francisco, CA • On-site, Remote

$148K - $260K/yr

Full-time

Re-posted 15 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.

- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.

- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.

- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.

Qualifications:

- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).

- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.

- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.

- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.

- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).

Bonus:

- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.

- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.

- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).

- Experience with embedded systems.

- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.