Culver City, CA

Engineer Jobs in Culver City, CA

6 jobs found

Include remote jobs

25d ago

Electrical Engineer – Smart Health & Wearable Devices

Oliveda International Inc. Culver City, CA

Culver City, CA

25d ago

$95k - $115k/yr Full time Electrical Engineering Electrical Design Embedded Software

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Job Description

Oliveda International Inc. is seeking an Electrical Engineer to drive the hardware development of health devices and smart wearables. This onsite role in Culver City, CA offers a salary of USD 95,000 to 115,000 per year and a benefits package that supports long-term health, financial security, and work-life balance.

The role blends advanced electrical engineering with beauty and wellness innovation, giving you ownership of wearable hardware from concept through prototyping and validation.

Benefits

401(k)
Dental insurance
Employee discount
Health insurance
Paid time off
Vision insurance

Role overview

Oliveda is seeking a seasoned Electrical Engineer with substantial experience in developing health devices and smart wearables. The right candidate will merge cutting-edge electronics with beauty and wellness concepts to create hardware that enhances user self-care. You will own the electrical design, prototyping, and validation of wearable devices that integrate with our holistic approach to beauty and wellbeing.

Responsibilities

Lead electrical design and integration of smart wearable health devices, including analog and mixed-signal circuits, sensor systems, and low-power architectures.
Develop prototypes and iterate on wearable devices to improve user experience and deliver accurate, reliable health metrics.
Collaborate with mechanical, firmware, software, and UX teams to translate cross-disciplinary ideas into tangible hardware.
Define and execute validation and calibration protocols for sensors and electrical subsystems.
Conduct benchtop and on-body testing to ensure high performance across diverse conditions and users.
Identify and troubleshoot issues, optimizing hardware for accuracy, durability, and manufacturability.
Partner with internal teams and external vendors to select, integrate, and validate sensors and components.
Support scale-up from prototype to production, ensuring compliance with regulatory and safety standards.
Stay current with emerging wearable technologies and trends in health, wellness, and consumer devices.

Requirements

Bachelor’s or Master’s in Electrical Engineering or a related field (PhD a plus).
5+ years of experience in electrical engineering for wearable devices, health sensors, or consumer IoT hardware.
Strong understanding of analog and mixed-signal circuits, PCB design, low-power systems, signal acquisition, and sensor integration.
Experience with testing, validation, and debugging of wearable electronics.
Proficiency with embedded systems, collaboration with firmware, and data acquisition tools (C/C++, Python, MATLAB).
Strong problem-solving abilities and the capacity to thrive in fast-paced, cross-functional teams.
Passion for health, wellness, beauty tech, and delivering transformative user experiences.

Technologies

C
C++
Python
MATLAB

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1mo ago

Electrical Engineer

Oliveda International Inc. Culver City, CA

Culver City, CA

1mo ago Closed

$95k - $115k/yr Full time Electrical Engineering Design Design Tools

This position is no longer accepting applications (closed Aug 7, 2026).

Job Description

Oliveda International is seeking an experienced Electrical Engineer to lead design, prototyping, and validation of wearable health devices and smart wearables onsite in Culver City, CA.

Responsibilities

Lead the electrical design and integration of smart wearable health devices, covering analog and mixed-signal circuits, sensor systems, and low-power architectures.
Develop prototypes and iterate on wearable devices to improve user experience and deliver accurate, reliable health metrics.
Collaborate with mechanical, firmware, software, and UX teams to translate cross‑disciplinary ideas into functional hardware.
Define and execute validation and calibration protocols for sensors and electrical subsystems.
Perform benchtop and on‑body testing to ensure high performance across diverse conditions and users.
Identify issues, troubleshoot, and optimize hardware for accuracy, durability, and manufacturability.
Partner with internal teams and external vendors to select, integrate, and validate sensors and components.
Support scale‑up from prototype to production, ensuring compliance with regulatory and safety standards.
Stay current with emerging wearable technologies and trends in health, wellness, and consumer devices.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering or related field (PhD a plus).
5+ years of experience in electrical engineering for wearable devices, health sensors, or consumer IoT hardware.
Deep understanding of analog/mixed‑signal circuits, PCB design, low‑power systems, signal acquisition, and sensor integration.
Experience with testing, validation, and debugging of wearable electronics.
Proficiency with embedded systems, firmware collaboration, and data acquisition tools (C/C++, Python, MATLAB).
Strong problem‑solving skills and ability to thrive in fast‑paced, cross‑functional teams.
Passion for health, wellness, beauty tech, and delivering transformative user experiences.

Technologies

C
C++
Python
MATLAB

Compensation & Benefits

Salary: USD 95,000 – 115,000 per year (based on experience)
On-site role in Culver City, CA
Opportunity to represent a purpose-driven global skincare brand
Professional growth and development opportunities within Oliveda
401(k), health, dental, and vision insurance
Paid time off and employee discount

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1mo ago

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture Culver City, CA

Culver City, CA

1mo ago Closed

$123k - $366k/yr Full time Manager Senior Agent

This position is no longer accepting applications (closed Aug 6, 2026).

Job Description

Benefits and culture

This onsite role in Culver City, CA offers a competitive salary range of USD 122,700 to 366,300 per year and a comprehensive benefits package. You’ll have medical, dental, vision, life, and long-term disability coverage, plus a 401(k) plan and bonus opportunities. The position also provides paid holidays and paid time off. The environment emphasizes practical impact, cross-functional collaboration, and ongoing professional development within a team that values hands-on delivery and customer outcomes.

Responsibilities

Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder client environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the full security design from assessment through hardened deployment.
Perform hands-on security engineering using agentic coding tools as the primary build environment, creating AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery practice.
Own AI-specific threat surface management at program scale, covering OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
Architect and govern AI security controls across the enterprise stack, including identity and access for AI systems, data pipeline security, model serving security, and multi-system integration risk across cloud platforms (AWS, Azure, or GCP).
Lead AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems rather than theoretical exercises.
Shape AI reinvention security strategy for client CISO and CTO, building risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
Define and publish reusable security patterns, playbooks, and accelerators that scale across client engagements and support the growth of the Secure AI practice.
Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.
Provide cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security).
Support proposals and SOW development, solution shaping, and client commercial engagement.
Facilitate executive workshops and communicate with C-suite and CISO-level stakeholders.
Apply structured analytical thinking and hypothesis-driven problem decomposition to security challenges.
Lead and coach a team of engineers and consultants through delivery, fostering development and performance.

Requirements

Minimum of 10 years of engineering experience in production environments with deep cybersecurity expertise in at least one area: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
Minimum 2 years of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
Minimum 8 years of end-to-end security delivery ownership experience in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify.
Minimum 8 years working with cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP): IAM, network security, secrets management, and AI service security configurations.
Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 6 years work experience.

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

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1mo ago

Cybersecurity Forward Deployed Engineer - FDE - Manager

Accenture Culver City, CA

Culver City, CA

1mo ago Closed

$87k - $305k/yr Full time Manager Agent Ai Enabled Security

This position is no longer accepting applications (closed Aug 6, 2026).

Job Description

This role places a production cybersecurity engineer inside a client enterprise to secure AI systems, govern them, and ensure resilience.

Responsibilities

Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the security design from assessment through hardened deployment.
Provide hands-on security engineering using agentic coding tools as the primary build environment to create AI powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery.
Manage AI specific threat surfaces at programme scale, covering OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
Architect and govern AI security controls across the enterprise stack, including identity and access for AI systems, data pipeline security, model serving security, and cross-system risk across AWS, Azure, or GCP.
Lead AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems.
Shape AI reinvention security strategy for client CISO and CTO, building risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements and grow the Secure AI practice.
Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

Requirements

Minimum of 8 years of engineering experience in production environments with depth in at least one cybersecurity domain such as application security, SecOps and detection engineering, cloud security, IAM, offensive security or penetration testing, or governance, risk and compliance.
Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
Minimum 6 years of end-to-end security delivery ownership in a client-embedded or production setting; internal advisory or compliance-only roles do not qualify.
Minimum 6 years working with cloud security fundamentals across at least one provider (AWS, Azure, or GCP): IAM, network security, secrets management, and AI service security configurations.
Bachelor's degree or equivalent work experience (minimum 12 years); if holding an Associate’s Degree, must have at least 6 years of work experience.
Proven ability to translate security risk into business terms, providing risk-adjusted investment rationale suitable for a CISO or CFO.
People leadership experience: managing, developing, and performance-managing a team of engineers, setting development plans, and conducting career conversations.

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

Benefits

Medical
Dental
Vision
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Requesting an Accommodation

Accenture provides equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed.
If accommodation is required to perform essential functions, you will participate in the reasonable accommodation process.
Accommodations made for recruiting do not guarantee future accommodations once hired.
If you need accommodation during the hiring process or have other accommodations needs, contact the recruitment team by toll-free telephone or email.

Equal Employment Opportunity Statement

Accenture does not discriminate on any protected basis and bases employment decisions on merit, without regard to age, race, creed, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity, or other protected characteristics.
For more details, view the Accenture Equal Opportunity Statement.
Accenture is an EEO and Affirmative Action employer for Veterans and Individuals with Disabilities.
Accenture supports veteran employment opportunities for service members and veterans.

Other Employment Statements

Applicants in the US must have work authorization not requiring sponsorship now or in the future.
Candidates currently employed by a client or affiliated Accenture business may not be eligible for consideration.
Criminal conviction history is not an absolute bar to employment; disclosures may be considered in context.
Accenture adheres to policies on pay transparency and does not retaliate against employees who discuss compensation.
California residents may have additional notices applicable to employment and employment-related information.
Review Accenture’s Recruiting and Hiring Statement for data processing details during the recruiting process.

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1mo ago

Data Engineer

Amazon.com Services LLC Culver City, CA

Culver City, CA

1mo ago Closed

$132k - $179k/yr Full time Amazon Quicksight Analytics AWS

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

This on-site Data Engineer role in Culver City, CA offers a comprehensive compensation package and the opportunity to shape Prime Video data infrastructure for Global Operations. Salary ranges from USD 132,100 to 178,800 per year. The benefits package includes health insurance, an Employee Assistance Program (EAP), mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units (RSUs).

Responsibilities

Design, develop, and maintain scalable, automated data pipelines and ETL/ELT processes that ingest, transform, and deliver data to support business reporting and analytics needs.
Architect data infrastructure for agentic AI and Model Context Protocols (MCP) including structured pipelines, usage data capture, and systems that power AI-enabled self-service analytics and reporting.
Build and maintain data lakes, data warehouses, and APIs ensuring reliable, performant access to clean, well-governed data. Optimize storage, queries, and AWS infrastructure costs.
Create logical data models that drive physical design, enabling BI/analytics teams to build self-service reporting on a solid foundation. Support forecasting and capacity planning at scale.
Establish data quality frameworks, monitoring, and alerting to ensure accuracy, completeness, and freshness. Drive governance best practices including lineage tracking, documentation, and access controls.
Own instrumentation strategy for key platforms, ensuring comprehensive data capture across operational workflows.
Partner cross-functionally with BI engineers, analysts, operations, science, and tech teams to translate data requirements into scalable solutions.

Requirements

Bachelor's degree in business, engineering, statistics, computer science, mathematics or a related field
3+ years of data engineering experience
3+ years of experience with big data technologies such as Hadoop, Hive, Spark, or EMR
Experience with data modeling, warehousing, and building ETL/ELT pipelines
4+ years of experience with one or more query languages (e.g., SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala)
Experience with Python or another scripting language for data processing
Knowledge of data schema design including normalization, relational models, and dimensional models
Cross-team collaboration skills and effective written and verbal communication when interfacing with stakeholders, peers, and executives
Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, continuous deployments, testing, and operational excellence
Experience using BI tools (e.g., Tableau, QuickSight) to visualize data

Technologies

Hadoop, Hive, Spark, EMR
SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala
Python
Tableau, QuickSight
AWS: S3, Redshift, SageMaker, Kinesis, Lambda, EC2
Informatica, Airflow, ODI, SSIS, BODI, Datastage

Preferred Qualifications

Advanced Degree (MS) in engineering, technology, statistics, analytics, or finance
Experience using BI tools (e.g., Tableau, QuickSight) to visualize data
Experience developing, scaling, and governing global operations standards and infrastructure across matrixed organizations
Experience with ETL tools such as Informatica, Airflow, ODI, SSIS, BODI, or Datastage
Experience architecting and operating solutions built on AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
Experience in large-scale workforce, operations, or capacity planning functions
Experience in data mining and working with large-scale, complex datasets in a business environment
Experience in statistical analysis using tools such as R, SAS, or Matlab

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2mo ago

DATA ENGINEER II

Sony Pictures Entertainment Inc. Culver City, CA

Culver City, CA

2mo ago Closed

$120k - $160k/yr Full time Analytics Bigquery Cloud Platform

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

The Data Engineer II role in Culver City, CA (hybrid) at Sony Pictures Entertainment focuses on building and maintaining ELT pipelines that power analytics, reporting, and AI/ML applications within the Insights, Strategy and Analytics team, collaborating with stakeholders across production, distribution, and marketing.

Responsibilities

Data Ingestion and Platform Development: Support the ingestion of new sources into SPE's Snowflake data platform, collaborating with central IT and cloud operations teams to define ingestion requirements and verify that pipelines align with business needs.
Analytics Modeling: Translate complex business use cases into robust data models using dbt and SQL, applying analytics engineering best practices to ensure maintainability, reliability, and performance.
Agile Product Delivery: Participate in fast-moving project teams building new ISA tools; source and harmonize data from disparate systems to create consumption-ready datasets used by data scientists and data visualization leads, delivering measurable business impact in an agile environment.
Data Governance and Compliance: Ensure data quality, integrity, and security across data platforms and pipelines; collaborate with IT, engineering, and information security teams on governance and compliance initiatives.
Cross-Functional Collaboration: Translate business requirements for non-technical stakeholders and partner with technical teams across multiple disciplines to craft effective solutions.
Team Culture and Collaboration: Foster a high-performing team environment through open collaboration and a shared culture of ownership, accountability, and continuous improvement.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus.
At least five years of experience in data engineering, analytics engineering, or a related technical role within production environments.
Proven ability to handle complex data domains and organize data assets for analytical use.
Interest in business concepts, entities, and relationships relevant to television production and distribution is a plus.
Advanced proficiency in SQL and Python.
Experience building dbt transformation pipelines is strongly preferred.
Proficiency with modern cloud data platforms such as Snowflake, GCP/BigQuery, or AWS/Redshift, along with pipeline orchestration tools.
Familiarity with CI/CD workflows, version control, and automated testing frameworks to enforce data quality.
Exposure to generative AI technologies and interest in AI driven approaches to data engineering and analytics workflows.
Excellent communication and stakeholder management skills, with a natural curiosity to understand the business systems and processes that generate data.
Strong problem-solving abilities and meticulous attention to detail.

Technologies

Snowflake
GCP/BigQuery
AWS/Redshift
dbt
SQL
Python

Benefits

Annual incentive
Comprehensive benefits

Preferred Qualifications

Industry Experience: Experience in the media and entertainment industry is a plus, but candidates from other industries are welcome to
Passion for Entertainment: A genuine interest in film and television is appreciated but not mandatory.

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Engineer Jobs in Culver City, CA

Electrical Engineer – Smart Health & Wearable Devices

Electrical Engineer

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Cybersecurity Forward Deployed Engineer - FDE - Manager

Data Engineer

DATA ENGINEER II

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