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Comcast Software Engineer Jobs in California (NOW HIRING)

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

Powered by Comcast's global entertainment platform, Xumo devices feature a world-class user ... As a Senior Backend Engineer on the Xumo Software Engineering Team, you will play a key role in ...

Comcast

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

Powered by Comcast's global entertainment platform, Xumo devices feature a world-class user ... As a Senior Backend Engineer on the Xumo Software Engineering Team, you will play a key role in ...

NBCUniversal

$144K - $193K/yr

NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more ... As a Principal Engineer on the Apps Platform team, your work will have a broad impact across ...

Databricks

Sr Software Engineer-Networking

Mountain View, CA · On-site

$166K - $225K/yr

We are seeking experienced Senior Software Engineers with large-scale distributed system experience ... More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50 ...

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Comcast Software Engineer information

See California salary details

$62.7K

$145.6K

$202.8K

How much do comcast software engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for comcast software engineer in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Comcast Software Engineer position, and why are they important?

To thrive as a Comcast Software Engineer, you need strong programming skills (such as in Java, Python, or C++), a solid understanding of software development principles, and typically a bachelor's degree in Computer Science or a related field. Familiarity with tools like Git, Jenkins, cloud platforms, and Agile development frameworks is common, and certifications such as AWS Certified Developer can be advantageous. Effective communication, creative problem-solving, and the ability to collaborate within diverse technical teams are essential soft skills. These capabilities are crucial for delivering robust software solutions, meeting project deadlines, and supporting innovation within Comcast's dynamic environment.

What does a typical day look like for a Software Engineer at Comcast?

A typical day for a Comcast Software Engineer often involves participating in Agile stand-up meetings, writing and reviewing code, collaborating with cross-functional teams like product management and quality assurance, and troubleshooting technical issues. Software Engineers regularly work on developing new features, maintaining existing systems, and contributing to codebase improvements. There are also opportunities to engage in knowledge-sharing sessions or technical learning workshops, which help foster professional growth. The collaborative and fast-paced environment at Comcast ensures that no two days are exactly alike, keeping the work both engaging and challenging.

Is Comcast a good company to work for software engineers?

Comcast offers software engineering roles with competitive salaries, benefits, and opportunities to work on large-scale telecommunications and media projects. Employees often cite a collaborative environment and access to modern tools, though experiences can vary by team and location.

Can I make 200k a year as a software engineer?

Software engineers at large companies like Comcast can potentially earn $200,000 or more annually, especially with seniority, specialized skills, or in high-cost-of-living areas. Achieving this salary often requires extensive experience, advanced technical skills, and sometimes additional compensation such as bonuses or stock options.

How much does a software engineer at Comcast make?

The average salary for a software engineer at Comcast is approximately $85,000 to $110,000 per year, depending on experience, location, and specific role. Entry-level positions may start lower, while experienced engineers or those with specialized skills can earn higher compensation, often including benefits and bonuses.

What is a Comcast Software Engineer job?

A Comcast Software Engineer designs, develops, and maintains software solutions that enhance Comcast's products and services. They work with technologies like Java, Python, cloud platforms, and microservices to build scalable applications. Engineers collaborate with cross-functional teams to implement innovative solutions that improve customer experience and business operations. The role may involve troubleshooting, performance optimization, and ensuring software quality through testing and best practices.

What engineers make $500,000?

Senior software engineers, especially those with specialized skills in areas like machine learning, cloud computing, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced certifications, and working at large tech companies or in high-demand industries.
What are the most commonly searched types of Comcast Software Engineer jobs in California? The most popular types of Comcast Software Engineer jobs in California are:
What are popular job titles related to Comcast Software Engineer jobs in California? For Comcast Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Comcast Software Engineer jobs in California look for? The top searched job categories for Comcast Software Engineer jobs in California are:
Comcast Software Engineer jobs near you
Infographic showing various Comcast Software Engineer job openings in California as of June 2026, with employment types broken down into 1% Internship, 94% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.
Software Engineer - GenAI inference

Software Engineer - GenAI inference

Databricks

San Francisco, CA

$142K - $204K/yr

Other

Posted 8 days ago

Job description

P-1284
About This Role
As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks' Foundation Model API. You'll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack - from kernels and runtimes to orchestration and memory management.
What You Will Do

  • Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference
  • Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
  • Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
  • Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
  • Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
  • Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
  • Integrate with federated, distributed inference infrastructure - orchestrate across nodes, balance load, handle communication overhead
  • Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
  • Document and share learnings, contributing to internal best practices and open-source efforts when possible
What We Look For
  • BS/MS/PhD in Computer Science, or a related field
  • Strong software engineering background (3+ years or equivalent) in performance-critical systems
  • Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
  • Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
  • Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
  • Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
  • Experience building instrumentation, tracing, and profiling tools for ML models
  • Ability to work closely with ML researchers, translate novel model ideas into production systems
  • Ownership mindset and eagerness to dive deep into complex system challenges
  • Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$142,200-$204,600 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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