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Software Engineer Software Developer Jobs in Redwood City, CA

Petal Surgical

R&D Engineer (Software)

Redwood City, CA · On-site

... developer in a ISO 62304 compliant software development environment with safety critical requirements. • At least 3 years experience integrating hardware (i.e. robot, imaging, control hardware ...

Judge Group, Inc.

Engineer Software 2

Sunnyvale, CA · On-site

$80 - $105/hr

Certified LabVIEW Developer certification * LabVIEW * PLC ladder logic programming and ... Designs and develops data acquisition software using LabVIEW programming language for production ...

Next Step Systems

Embedded Software Engineer

Santa Clara, CA · On-site

$154K - $203K/yr

The ideal Embedded Software Engineer will possess a solid foundation in software development ... Developer, Programmer Analyst, Programming, California Recruiters, Information Technology Jobs ...

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Showing results 21-40

All JobsSoftware Engineer Software Developer JobsSoftware Engineer Software Developer Jobs in Redwood City, CA

Software Engineer Software Developer information

See Redwood City, CA salary details

$58.8K

$136.9K

$203.2K

How much do software engineer software developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for software engineer software developer in Redwood City, CA is $136,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $159,200.00 per year, depending on experience, location, and employer.

What is a software engineer software developer?

Software engineers and software developers are professionals who design, create, test, and maintain computer software. While the terms are often used interchangeably, software engineers typically focus on applying engineering principles to the entire software development process, including system architecture and design. Software developers are more focused on writing code and building applications based on specific requirements. Both roles require strong problem-solving skills, knowledge of programming languages, and collaboration with other team members. Their work enables the technology and applications we use every day.

What are the key skills and qualifications needed to thrive as a software engineer software developer?

To thrive as a Software Engineer or Software Developer, you need strong programming skills, problem-solving abilities, and a solid understanding of computer science principles, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems like Git, and experience with development frameworks and cloud platforms are commonly required. Excellent teamwork, communication skills, and adaptability help you collaborate effectively and respond to evolving project needs. These skills and qualities are crucial for building reliable, scalable software and successfully contributing to dynamic development teams.

How do software engineers typically collaborate with product managers and designers during the development process?

Software engineers frequently work closely with product managers and designers to ensure that technical solutions align with user needs and business goals. This collaboration often involves participating in regular meetings such as sprint planning, design reviews, and daily stand-ups to clarify requirements, discuss feasibility, and provide feedback. Engineers contribute technical insights early in the process, help identify potential challenges, and iterate on features based on cross-functional input. Effective communication and teamwork are essential for delivering high-quality software on schedule.

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

AspectSoftware Engineer Software Developer

Both roles often require similar skills, including programming, problem-solving, and understanding software development lifecycle. They typically work in similar environments such as tech companies, startups, or IT departments. Employers often use these titles interchangeably, and candidates search for both when exploring opportunities. The main difference is that 'Software Engineer' may imply a broader scope or more emphasis on engineering principles, but in many contexts, they are considered equivalent roles.

What are popular job titles related to Software Engineer Software Developer jobs in Redwood City, CA?

For Software Engineer Software Developer jobs in Redwood City, CA, the most frequently searched job titles are:

What job categories do people searching Software Engineer Software Developer jobs in Redwood City, CA look for?

The top searched job categories for Software Engineer Software Developer jobs in Redwood City, CA are:

What cities near Redwood City, CA are hiring for Software Engineer Software Developer jobs?

Cities near Redwood City, CA with the most Software Engineer Software Developer job openings:

Software Engineer Software Developer jobs near you
Infographic showing various Software Engineer Software Developer job openings in Redwood City, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $136,938 per year, or $65.8 per hour.

Member of Technical Staff (Software Engineer)

Cerebras

Sunnyvale, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Cerebras is a company that builds the world's largest AI chip, significantly enhancing training and inference speeds. They are seeking a Software Engineer to develop and maintain high-performance, low-latency inference infrastructure, focusing on deploying scalable services and collaborating with cross-functional teams.
Responsibilities:
• Implement infrastructure to support high-performance, low-latency inference service.
• Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads.
• Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs.
• Integrate inference services with containerized environments using Docker and Kubernetes for orchestration.
• Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies.
• Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
• Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements.
• Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces.
• Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects.
• Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline.
• Develop automated scripts to detect and mitigate common failure modes, improving system reliability.
• Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
• Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
• Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.
• Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives.
Qualifications:
Required:
• Master's degree (or foreign equivalent) in Computer Science or a related field.
• One (1) year of experience as a Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation.
• Employer accepts full-time or equivalent part-time experience gained before, during, or after graduate studies.
• Docker and Kubernetes;
• Java or C++;
• ActiveMQ and Kafka;
• Python or Groovy;
• JavaScript or TypeScript;
• Linux;
• SQL, OracleDB, and Redis; and
• Git
Company:
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. Founded in 2015, the company is headquartered in Sunnyvale, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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