San Francisco Bay Area, CA

Engineer Jobs in San Francisco Bay Area, CA

5 jobs found

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1d ago

Principal Software Engineer – Robot Applications & Voice AI

Cerence AI San Francisco Bay Area, CA 🇺🇸 Remote

San Francisco Bay Area, CA

1d ago

$166k - $264k/yr Full time Agentic Ai Ai Guided Robotics APIs

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Job Description

Cerence AI in the San Francisco Bay Area offers a remote-friendly Principal Software Engineer role focused on the application and cognitive layers of its humanoid robot platform. In this position you will shape advanced voice applications, multi-modal context systems, and core robot behavior logic that translate human intent into actionable tasks. The salary range for this role is USD 165,550 to 264,450 per year, and candidates should hold a Bachelor’s or Master’s degree with at least five years of professional software engineering experience.

Responsibilities

Design and implement upper-layer software, interaction workflows, and the robot's behavioral state machines.
Develop the central orchestration that converts spoken language, gestures, environmental cues, and contextual signals into deterministic robotic tasks.
Fuse multi-modal inputs by integrating vision pipelines, object detection, scene understanding, spatial tracking, and voice interactions for contextual awareness.
Create robust voice applications handling speech-to-text, natural language understanding, dialog management, wake-word detection, and text-to-speech interfaces.
Build orchestration workflows that combine LLMs, VLMs, memory systems, tool calling, reasoning engines, and robotic capabilities.
Consume and coordinate navigation, manipulation, perception, and device-control services exposed by the robotics platform.
Optimize software for low-latency edge execution while leveraging cloud-based AI services as needed.
Integrate robots with mobile devices, smart home ecosystems, enterprise applications, and cloud APIs.
Contribute telemetry, logging, and evaluation mechanisms to support continuous model improvement.
Support testing, observability, CI/CD practices, and production deployment readiness.

Requirements

Experience with orchestration and logic frameworks such as BehaviorTree.CPP, state machines, workflow engines, or task-planning architectures.
Hands-on work with cognitive AI and agent systems, including LLMs, VLMs, tool-calling architectures, agent frameworks, RAG systems, or semantic memory platforms.
5+ years of professional software engineering experience using Python and/or C++.
Proven ability to design scalable application-layer software, API-driven systems, distributed services, and event-driven architectures.
Experience optimizing software on resource-constrained edge hardware with intermittent connectivity.
Experience integrating cloud AI services, model serving platforms, and containerized deployments.
Commitment to automated testing, debugging, monitoring, observability, and CI/CD practices.
Experience designing natural, context-aware human-machine interactions.
Education: Bachelor’s or Master’s degree.

Technologies

BehaviorTree.CPP
Python
C++
ROS2
Docker
Kubernetes
OTA updates
Whisper
Deepgram
Azure Speech
ElevenLabs
AWS Speech Services

Benefits

Annual bonus opportunity
Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
Health savings account
Paid time off
Paid holidays
Company contribution to the RRSP
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position
401(k)
Parental leave

Your Impact

You will build software that powers the next generation of intelligent humanoid robots, concentrating on Voice AI, Agentic AI, LLMs, VLMs, and physical AI products. Collaboration spans robotics, conversational AI, embedded systems, and cloud computing, with your work deployed in real-world robotic environments.

Why Join the Team

Build software powering the next generation of intelligent humanoid robots.
Engage across Voice AI, Agentic AI, Physical AI, and Conversational Systems.
Collaborate with experts in speech, AI, robotics, cloud, and embedded systems.
Help shape the future of human-machine interaction.

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1mo ago

Senior Scientific Data Engineer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

1mo ago Closed

$139k - $174k/yr Full time Python Senior Data Engineer

This position is no longer accepting applications (closed Jul 12, 2026).

Job Description

Exceptional health benefits, generous time off, and a collaborative culture that values every contributor. This role sits at the Lawrence Berkeley National Laboratory's Joint Genome Institute (JGI), offering strong health coverage, ample paid time off and holidays, and relocation assistance. With a hybrid work schedule eligible, you can balance on site collaboration with flexible work from home while helping advance genomic research and data platforms. The position also provides opportunities to lead major technical initiatives within a supportive, inclusive environment that invests in its teams.

Responsibilities

Convert complex scientific, operational, and user needs into detailed specifications, system designs, and actionable implementation plans for enhancements, integrations, and shared data platforms.
Design, build, deploy, and support core systems, APIs, and workflows for the Laboratory Information Management System ecosystem, data warehouse and data lakehouse, and proposal/project management tools that enable genomic data generation, metadata handling, and laboratory operations.
Lead the resolution of challenging technical issues, drive system improvements, and ensure production platforms are reliable, scalable, interoperable, and high performing.
Promote engineering excellence through reviews, documentation, mentorship, and ongoing refinement of development and operational processes.

Requirements

Bachelor’s degree in Computer Science or a related field, plus a minimum of eight years of professional experience developing, integrating, deploying, and supporting production software applications and data systems that support metadata management, workflow orchestration, data lifecycle operations, and broad user access to scientific and operational data, or an equivalent combination of education and experience.
Hands-on experience with data engineering and event driven technologies such as Airflow, Kafka, or related tools.
Experience with diverse data storage technologies, including relational databases, object storage, and systems that support structured, semi structured, and large scale datasets.
Strong foundations in software and data engineering for large scale production systems, including system design, APIs, testing, concurrency, reliability, scalability, interoperability, and performance optimization.
Proficiency in Python and experience with one or more additional programming languages.
Experience using AI assisted development tools, with demonstrated ability to evaluate and validate generated code for production use.
Proven ability to provide technical leadership in shaping system architecture and direction across cross functional engineering groups.
Excellent communication skills, including the ability to organize and present complex technical information to internal teams and stakeholders.
Demonstrated experience collaborating with stakeholders to understand project goals and translate complex scientific, operational, and user requirements into automated systems, technical specifications, and implementation plans.

Technologies

Python
Airflow
Kafka
Laboratory Information Management System (LMS/LIMS)
Data Warehouse / Data Lakehouse
AI assisted development tools

Additional information

Application timing: Priority consideration for resumes and cover letters by June 22, 2026. Applications accepted until the posting is removed.
Appointment type: Full time, exempt from overtime, monthly paid, two year benefits eligible term appointment with potential extension or conversion to career status based on performance and funding.
Salary: Budgeted $139,440 to $174,312 per year, within the broader range for the role; final offer determined by qualifications and experience.
Background check: Completion of a background check; convictions evaluated for relevance to responsibilities; not an automatic disqualification.
Work modality: Hybrid schedule eligible, located at Lawrence Berkeley National Laboratory in Berkeley, CA; residence within 150 miles preferred; full remote on rare occasions. Real ID or acceptable ID required for site access.
Relocation: Relocation assistance is available.
Work authorization: Applicants must be legally authorized to work in the United States; visa sponsorship is not provided.

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1mo ago

Senior Scientific Data Engineer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

1mo ago Closed

$139k - $235k/yr Full time Python Senior Apache Airflow

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Senior Scientific Data Engineer at Lawrence Berkeley National Laboratory in the San Francisco Bay Area, focusing on core scientific data systems, data workflows, and AI-ready data pipelines.

Responsibilities

Contribute to the design, development, and enhancement of JGI’s core scientific data and compute capabilities within a skilled engineering team.
Architect, build, deploy, and operate production automated systems, APIs, and workflows for genomic data movement, metadata management, job orchestration, data access, and large‑scale scientific computing.
Identify technical issues and integration gaps, driving continuous improvements across systems and processes.
Increase reliability, scalability, observability, interoperability, and maintainability of shared production data platforms while enabling sustainable operations.
Promote engineering best practices through technical reviews, knowledge sharing, and team process optimization.

Requirements

Bachelor’s degree (or equivalent knowledge/training) in Computer Science or related field, plus at least 8 years of relevant experience delivering production software and data systems that support metadata management, workflow orchestration, data lifecycle operations, and broad user data access, or an equivalent combination of education and experience.
Strong foundation in software and data engineering for data‑intensive distributed systems, including system design, concurrency, performance, and testing.
Experience with database and data storage technologies, including relational databases, object storage, and systems handling structured, semi‑structured, and large‑scale data.
Hands‑on experience with data engineering and event‑driven technologies such as Airflow or Kafka.
Experience using AI coding assistants (for example Claude Code, Codex, Cursor) with demonstrated ability to review and validate generated software for correctness, quality, security, maintainability, and production suitability.
Proficiency in Python and experience with one or more additional programming languages.
Excellent communication skills, including the ability to present complex technical information to internal teams and stakeholders.
Proven ability to collaborate effectively with users, stakeholders, and engineering teams to deliver results in a multidisciplinary environment.

Technologies

Python
Airflow
Kafka
Claude Code
Codex
Cursor
WDL
Nextflow

Benefits

Comprehensive health coverage and retirement options including pension or 401K‑style plans
Supportive culture with focus on belonging and team investment
Winter Holiday Shutdown each year
Parental bonding leave for both mothers and fathers
Pet insurance
Relocation assistance

Desired Qualifications

Master’s degree (or equivalent knowledge) in Computer Science or related field
Experience with genomics, bioinformatics, and/or next‑generation sequencing data
Proficiency with scientific workflow languages or systems such as WDL and Nextflow
Experience with full‑stack or front‑end application development
Background working in high performance computing environments

Additional Information

Application deadline: Priority consideration for resumes and cover letters by June 1, 2026; applications accepted until the posting is removed
Appointment type: Full‑time, exempt from overtime, 2‑year term with benefits eligibility; potential for extension or conversion to a Career appointment based on performance, funds, and needs
Salary range: Budgeted range of $139,440 to $174,312 annually; aligns with the broader $139,440 to $235,308 range for this job code; final salary depends on qualifications and experience
Background check: Required; convictions reviewed for relevance to responsibilities; a history does not automatically disqualify
Work modality: Hybrid schedule (remote and on‑site) at 1 Cyclotron Road, Berkeley, CA; must reside within 150 miles; flexible telework possibilities rare
Relocation assistance: Eligible
Work authorization: Must be legally authorized to work in the United States; no visa sponsorship provided
Misconduct disclosure: Finalist must disclose any relevant misconduct decisions within the last seven years

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2mo ago

Staff Data Engineer, Analytics

Discord San Francisco Bay Area, CA

San Francisco Bay Area, CA

2mo ago Closed

$248k - $279k/yr Full time Senior Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Discord is seeking a Staff Data Engineer, Analytics to steer the technical strategy and architecture of its analytics data infrastructure. You will own the transformation and semantic layer and end-to-end metrics in collaboration with Data Science, Product, Finance, and Engineering.

The role is based onsite in the San Francisco Bay Area, CA, with a compensation range of USD 248,000 to 279,000 per year. This position requires at least seven years of relevant experience.

Below is a structured overview of the responsibilities, requirements, and technologies involved.

Responsibilities

Define the technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models.
Own end-to-end metric definitions, partnering with stakeholders to determine what to measure, designing production data models, and surfacing metrics and dimensions in dashboards and reports.
Design and implement sophisticated data models and analytical frameworks using SQL, Python, and modern data stack technologies.
Develop data quality programs, monitoring, anomaly detection, and alerting at scale, with governance, lineage tracking, and change-management practices appropriate for externally reported numbers.
Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization.
Lead cross-functional technical initiatives across product verticals and mentor engineers to accelerate delivery and harden data systems.
Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment.

Requirements

7+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets.
7+ years of experience designing, developing, and maintaining robust data models from structured and unstructured sources.
Expert-level SQL and strong Python skills, with solid fundamentals in version control and CI/CD.
Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets.
Experience building and owning executive-level dashboards and reports using BI tools such as Looker, Tableau, or similar.
Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences ranging from engineers to executive leadership.
Track record of hands-on collaboration with Data Science, Finance, and Product teams.

Technologies

SQL
Python
Looker
Tableau
dbt
BigQuery

Benefits

Equity

Bonus Points

Passion for Discord or online communities
Experience building or contributing to a semantic layer or metrics store
Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
Experience defining and governing metric standards across a data organization
Experience with reporting infrastructure subject to external audit or SOX compliance

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2mo ago

Lead Scientific Data Engineer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

2mo ago Closed

$159k - $268k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Join Lawrence Berkeley National Laboratory's Joint Genome Institute in the San Francisco Bay Area on a hybrid schedule. This senior leadership role offers a salary range of USD 158,808 to 267,996 per year and a strong benefits package, including top-tier health and retirement options, a culture that values belonging, a Winter Holiday Shutdown, parental bonding leave, and pet insurance. The position focuses on providing technical leadership for core genomic data systems, data management, job orchestration, and platform integration to enable AI driven scientific discovery.

Benefits

Exceptional health and retirement benefits, including pension or 401K style plans
A culture where you’ll belong, with strong investment in our teams
Winter Holiday Shutdown each year in addition to vacation and sick time
Parental bonding leave for both mothers and fathers
Pet insurance

Responsibilities

Provide senior technical leadership for JGI’s core scientific data and compute platforms by developing roadmaps, data system architectures, and long-term strategy
Lead the design and deployment of production automated systems, APIs, and workflows supporting genomic data movement, metadata management, job orchestration, data access, and large-scale scientific computing
Improve reliability, scalability, observability, interoperability, and maintainability of shared production data systems while ensuring sustainable operations
Collaborate with product managers, scientists, and users to drive cross-team technical alignment and integration decisions addressing complex challenges and shared priorities

Requirements

Bachelor’s Degree in Computer Science or a related field and a minimum of 12 years of professional experience with large-scale scientific data and compute infrastructures, or an equivalent combination of education and experience
Proven experience leading the design, development, integration, and operation of production software and data systems supporting metadata management, workflow orchestration, data lifecycle operations, and broad user data access
Advanced knowledge of data and software engineering fundamentals for data-intensive distributed systems, including system design, concurrency, performance, and testing
Broad experience with databases and data storage technologies, including relational databases, object storage, and systems for managing structured, semi-structured, and large-scale data
Experience with data engineering and event-driven technologies such as Airflow or Kafka
Strong experience using AI coding agents such as Claude Code, Codex, or Cursor, including judgment in reviewing and validating generated software for production quality, security, and maintainability
Proficiency in Python and experience with one or more additional programming languages
Excellent communication skills, including the ability to present complex technical information to diverse audiences
Demonstrated ability to lead through influence in interdisciplinary environments, aligning users, stakeholders, and engineering teams around shared requirements and implementation plans

Technologies

Airflow
Kafka
Claude Code
Codex
Cursor
Python
WDL
Nextflow

About JGI

The Joint Genome Institute (JGI) is a global leader in genome science, helping shape the future of biological discovery through advanced genomic capabilities, expert support, and large-scale, AI-ready data resources. As a DOE Office of Science user facility supported by the Biological and Environmental Research (BER) program, JGI advances BER’s mission to achieve a predictive understanding of complex biological, Earth, and environmental systems in support of the nation’s energy and infrastructure.

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Engineer Jobs in San Francisco Bay Area, CA

Principal Software Engineer – Robot Applications & Voice AI

Senior Scientific Data Engineer

Senior Scientific Data Engineer

Staff Data Engineer, Analytics

Lead Scientific Data Engineer

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