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Job Title: Product Engineer Location: San Jose, CA About the role: The Product Engineer for high reliability Hybrid DC-DC converters for Space and Military applications supports the development and production of new devices and takes product engineering responsibility throughout the product life cycle - from development to production ramp-up and qualification. This position will have a direct impact on meeting our productivity targets and our customers’ expectations. In this position, you’ll be responsible for: • Responsible for DC-DC products (documentation, troubleshooting, analysis, and qualification) to meet Production Yield Goals., • Support production by troubleshooting DC-DC Converters, supporting functional tests, and providing trimming process guidance., • Ensure non-conformances are resolved from failure mode to root cause through corrective and preventative action., • Perform analyses (Stress and Thermal Analysis, MTBF –Reliability) as necessary., • Design and develop test hardware, using Cadence Allegro, and perform simulations for analysis., • Support the release of design packages and review customer specification datasheets., • Support external tests, such as vibration and shock, and radiation tests, including Total Ionizing Dose (TID) and Single Event Effects (SEE)., • Develop and implement test fixtures for ATE (Chroma) conversion projects., • Initiate, write & release new test programs to ensure timely new-product release to production., • Perform test validation, improvement, qualification, and release to production per corporate standards and procedures., • Work with operations to identify and document test improvement opportunities., • Support the test engineering and design teams in defining proper test concepts., • Comply with all safety policies, practices, and procedures., • Comply with all quality and ITAR policies, practices, and procedures., • Build meaningful and productive relationships with internal business partners., • Participate in proactive team efforts to achieve departmental and company goals., • Contribute to building a positive team spirit., • Communicate effectively with all levels of employees., • Protect confidential information by not communicating, disclosing to, or using it for the benefit of 3rd parties., • Maintain the highest degree of honesty and integrity at all times., • Perform other duties as assigned. What we’re looking for: We’re ideally looking for someone who has: • Master's/Bachelor’s Degree in Electrical Engineering or related Field., • 5 to 10 years of experience in related product and/or engineering experience., • Strong understanding of electronic engineering principles in areas including analog and digital circuits, power supplies, and DC-DC converters., • Experience in PCB schematic capture tools such as OrCAD / Cadence Allegro., • Basic programming experience programming in C / C++, VBasic or Python, or LabView is a plus., • Hands-on experience performing bench electrical measurements using signal generators, DVMs, oscilloscopes, and spectrum analyzers., • Excellent analytical and problem-solving skills, as well as teamwork capabilities., • Excellent communication skills and ability to interact with multiple stakeholders. Skills: • Design tools/fixtures with minimal guidance., • Standard electronic laboratory equipment: (i.e. Oscilloscopes, Pulse/Signal Generators, Parametric Analyzers, Spectrum Analyzers, etc)., • Knowledge in semiconductor manufacturing is a plus., • Fast technical document generation/modification CAD, Excel, and PCB software is a plus., • Knowledge in military standards (MIL-PRF38534, MIL-PRF-38535, MIL-STD-883, JSTD-001) is a plus., • Self-motivated with the ability to align priorities in accordance with business goals and meet deadlines in a fast-paced environment., • Team player who enjoys working with different disciplines., • High-energy, results-focused self-starter., • Strong analytical ability and decision-making., • Ability to exercise flexibility with quickly changing data requests., • Ability to adapt quickly and learn new tasks independently., • Ability to manage competing priorities., • Excellent organization and planning skills., • Effective communication skills (written & verbal).

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Ruckus Networks s seeking a Escalation Engineer who is passionate about making pioneer smart Wi-Fi products. These products enable carriers and enterprises to stay ahead of the exploding demand for high-bandwidth applications and services. How you’ll help us connect the world: Responsible for support and development of Ruckus product, including WiFi Access Point (AP), Controller (premise and cloud), and Ruckus analytic tools. Teamwork: Interact with support team to live debug and troubleshoot customer field issues and recover customer network promptly.Self-motivated: Independently reproduce customer network issues in the lab and isolate the root cause from the lab reproduction. Quick deliver: Commit code in the active branches, verify the fix in the lab and deliver patch solutions to customer. Deliver business impact: Develop customer requested features to meet customer requirement and use cases. Required Qualifications: Master’s or bachelor’s degree in computer science, Electrical Engineering, or a related field.3 to 10 years in software engineering with a strong track record of code development on network devices. Languages: Proficiency in C, C++, Python, Java. Networking: Deep expertise in IP networking, routing protocols. Strong WiFi background is a plus. Strong debug capability and troubleshooting scale in L2/L3 network. #LI-RB1 #LI-CAHYBRID Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary and commission range) is $100,600.00 - $128,600.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. Why Join Us? Vistance Networks shapes the future of communications technology, pushing past what is possible. We deliver solutions that bring reliability and performance to a world always in motion. Our global team of innovators and employees are trusted advisors who listen to customers first, then deliver value. RUCKUS Networks delivers purpose-driven enterprise networks that enable superior business outcomes in demanding environments. Our solutions combine AI-powered automation, proactive network assurance, and context-aware security, providing exceptional performance with simplified management. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at Vistance Networks. Vistance Networks is an Equal Opportunity Employer (EEO), including people with disabilities and veterans.

DFT Lead Full Time Opportunity in Saratoga, CA Responsibilities Define the DFT architecture of a multi-chip system SOC. involving all aspects of test design functions such as Scan, BIST, Memory Repair, BSD ( ACJTAG/DCJTAG). Proficiency in Synthesis design constraints. ( Ie SDC) Prior experience with Serializers/Deserilizers. Sound Proficiency in either Mentor /Synopsys Test Tools required. Proficiency is synthesis, Define and implement OCC. Exposure to advanced DFT techniques like LBIST and streaming preferred. Fluent in RTL level and Gate level simulation. Supervise ATPG generation and achieve high coverage goals for scan and @speed scan. Qualifications Knowledge using synthesis, DFT & Simulation CAD tools Familiarity with logic & physical design principles to drive low-power & higher-performance designs Fluency in scripting in some of these languages: Unix, Perl, Python, and TCL Good understanding of device physics and experience in deep sub-micron technologies 7nm or below. Prior Exposure to EMIB architectures and bridge is a plus. Knowledge of Verilog and System Verilog Excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated Ability to work well in a team and be productive under aggressive schedules Prior experience of multiple tape out in deep submicron 7nm or below is required. Master’s Degree or bachelor’s degree in EE with a minimum of 15+ years of experience.

Intelligence Architect Conquer AI is hiring an Intelligence Architect to help us design and deliver real-world AI systems for enterprise clients. This is not a research-only role, and it is not a strategy-only role. We are looking for a strong software engineer who can work directly with clients, run technical discovery, shape use cases, and then build the solution from POC through MVP and Phase 1 delivery. Think forward deployed engineer. A hands-on builder who can sit with business stakeholders, understand how work actually happens, and turn that into practical AI systems. What we’re looking for • Strong software engineering background, • Experience with RAG, LLMs, machine learning, and AI application development, • Strong hands-on skills in Python and Node.js, • Ability to design, build, and deploy production-ready systems, • Confident working directly with clients and cross-functional stakeholders, • Able to move from problem definition to technical architecture to delivery, • Strong communication, ownership, and execution skills What you’ll do • Work closely with clients to uncover high-value AI opportunities, • Lead discovery sessions and translate business problems into technical solutions, • Build POCs, MVPs, and early production systems, • Design workflows that combine retrieval, reasoning, automation, and human-in-the-loop review, • Operate as a trusted technical lead across both client-facing and delivery work, • Help ensure what gets built is usable, scalable, and grounded in real workflows This role is a fit for you if • You are a builder first, • You can speak to executives, operators, and engineers without losing the thread, • You enjoy solving messy workflow problems with elegant technical systems, • You want to work on high-impact AI delivery, not internal experiments, • We’d love to hear from engineers who want to build serious AI systems in the real world.

Backend Engineer – Build the Core System (Early Stage) I’m working with a fast-growing, venture-backed startup that is rebuilding a complex, real-world industry from the ground up using AI and modern backend systems. They’ve already hit strong early traction and are now hiring an engineer to help define and build the platform at the center of the business. What you’ll be doing This role sits right at the core of the company. You’ll be: • Building backend systems that power real-world operations, • Designing APIs, services, and data models from scratch, • Owning database design and performance (PostgreSQL), • Working with AWS or GCP in a production environment, • Shipping quickly and iterating on live systems, • Integrating AI-driven workflows into core product logic You won’t be handed tickets. You’ll be expected to figure things out and build. What they’re looking for • Strong backend engineering experience (Python preferred), • Experience shipping production systems end-to-end, • Solid understanding of system design and data modeling, • Comfortable working across APIs, infrastructure, and data layers, • Experience with PostgreSQL and cloud platforms (AWS or GCP), • Someone who takes ownership and moves without waiting Nice to have: • Exposure to LLMs, RAG pipelines, or AI-driven products, • Experience in early-stage or high-growth environments Why this role stands out • You’ll build systems that directly impact the business from day one, • Real ownership of architecture and technical decisions, • Fast-moving environment with minimal bureaucracy, • Strong early traction and backing, • Competitive compensation and equity Location San Francisco (in-person) Relocation support available

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Site Reliability Engineer (SRE) | San Fran Bay Area | Hybrid, 2 days in Fremont Office We’re partnering with a technology-driven organisation modernising its infrastructure and operations. They’re hiring an experienced Site Reliability Engineer to help transition from legacy systems to modern, automated, Infrastructure-as-Code environments. What You’ll Do • Build automation software in Python for cloud infrastructure, • Drive Infrastructure as Code adoption using Terraform, • Implement configuration management (Ansible/SaltStack), • Improve CI/CD pipelines, monitoring, and system reliability, • Participate in a sustainable on-call rotation What You’ll Bring • 3+ years’ experience in AWS and/or GCP production environments, • Strong Python and Linux skills, • Hands-on Terraform and IaC experience, • Experience with CI/CD and configuration management tools, • Collaborative mindset and interest in solving complex problems Why Apply • High-impact role with real ownership, • Opportunity to modernise and automate at scale, • Strong technical challenges and growth potential

We’re looking for an Applied AI Engineer to join our Engineering team to design, build, evaluate, and deploy intelligent AI systems that power enterprise workflows, autonomous assistants, and machine-assisted task automation. This role is based out of our US office and comes with competitive pay and practical benefits for you and your family. We’re looking for strong problem solvers who’ve shipped impactful AI-driven functionality before and can scale our platform intelligence with quality and ownership. What you'll do — responsibilities • Design, build, and fine-tune transformer-based and retrieval-augmented models for natural language understanding, intent classification, summarization, and context-aware reasoning., • Develop AI components that power automated knowledge search, semantic retrieval, agentic task orchestration, and conversational assistants., • Integrate AI systems with production data pipelines in a scalable and secure way., • Build evaluation pipelines, define metrics, and establish performance and reliability benchmarks for AI features., • Collaborate with engineering, data, and product teams to productize models with observability, monitoring, and continuous improvement., • Participate in code reviews, architecture discussions, and cross-team problem solving., • Take end-to-end ownership of features — from problem definition to deployment and performance monitoring. What we’re looking for (qualifications) • Strong programming experience in Python and familiarity with ML/AI frameworks like PyTorch or TensorFlow., • Hands-on experience with transformer-based models (LLMs), embeddings, vector search, and retrieval augmentation., • Experience building or integrating semantic search, RAG, or multi-agent workflows., • Demonstrated ability to build reliable ML/AI systems in production environments., • Understanding of scalable backend systems, cloud infrastructure, and model serving techniques., • Good software engineering practices: clean code, testing, version control (Git), and collaboration., • Curious mindset, product empathy, and willingness to learn new technologies quickly., • We don’t require specific degrees — practical skills, curiosity, and ownership matter most. Why we are different (culture) As part of Atomicwork, you can shape our company and business from idea to production. Our cultural values set the bar high and help us create a better workplace for everyone. Agency: Be self-directed and take initiative. Taste: Hold a high bar — sweat the details and build with care. Ownership: Take full responsibility for wins and setbacks. Mastery: Commit to continuous learning and improvement. Impatience: Move with urgency towards outcomes. Customer Obsession: Put customer value at the heart of every decision.

About Alterion Alterion is building the control plane for the agentic enterprise - enabling organizations to safely deploy, monitor, and scale autonomous AI agents with full visibility and governance. Our platform unifies semantic observability, dynamic policy enforcement, and distributed monitoring to ensure agent ecosystems remain trustworthy, compliant, and efficient at scale. As part of this mission, the Intelligence Platform is responsible for understanding, scoring, and optimizing agent behavior across the enterprise, including accuracy, security, cost, drift, anomalous behavior, and runtime dynamics. Role Overview We are looking for a Senior AI/ML Engineer (Applied) to join our on-site Research & Intelligence team in San Francisco. This role is for an experienced engineer who enjoys working close to research problems but is primarily motivated by building, shipping, and improving production systems. You will work on applied GenAI problems including agent evaluation, observability and safety; translating proven techniques into scalable, reliable components within Alterion’s platform. This is not a pure research role. Success is measured by what ships and what improves in production, not by publications. What You’ll Work On • Build and maintain pipelines for model evaluation, scoring, and monitoring in production environments., • Apply fine-tuning, optimization, and lightweight model adaptation techniques where appropriate., • Develop embeddings, classifiers, and scoring services that support natural language analysis., • Run structured experiments to evaluate model performance, tradeoffs, and regressions., • Partner with engineering and product teammates to translate ideas into working systems., • Contribute to internal tooling, dashboards, and prototypes that improve agent visibility and control. Minimum Qualifications • 5+ years of experience in software engineering, ML engineering, or applied AI roles., • Strong Python skills and experience building production services or data pipelines., • Hands-on experience working with LLMs (APIs or open-source models) in real systems., • Familiarity with model evaluation, monitoring, and performance tradeoffs., • Experience using ML frameworks such as PyTorch or similar. Preferred Qualifications • Experience with GenAI evaluation, observability, or safety tooling., • Familiarity with embeddings, vector search, or semantic similarity systems., • Exposure to fine-tuning, PEFT, or cost-aware inference strategies., • Experience working in early-stage or fast-moving product teams. Who Thrives Here • Researchers who like to build, iterate, and see real impact quickly., • People who enjoy working in-person with a small team on hard, novel problems., • Builders who combine scientific depth with strong engineering instincts., • Individuals passionate about defining how autonomous AI agents are evaluated, governed, and optimized.

Clinical Data Scientist Redwood City, CA (Hybrid potentially remote options) Salary: $140,000-$180,000 No Sponsorship Available About the Role We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives. In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems. You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally. This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development. What You’ll Do • Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models., • Ensure outputs meet quality, compliance, and traceability standards., • Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using R or Python., • Perform robust data cleaning and QC checks., • Investigate anomalies and troubleshoot issues across the data pipeline., • Distinguish between upstream extraction issues and true clinical variations., • Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic., • Serve as an early user and feedback partner for internal data tools., • Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides)., • Support compliance and regulatory submission needs., • Complete internal and external analysis requests to support clinical insights, client value, and platform performance., • Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance. What You Bring • Education:, • BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field., • Experience:, • 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech., • Technical Strengths:, • SAS, R, Python, SQL, • Experience with Git/version control preferred, • Industry Knowledge:, • Familiarity with clinical trial workflows, • Strong understanding of CDISC SDTM/ADaM, • Oncology endpoints (RECIST, survival) and RWD experience is a plus, • Data Wrangling:, • Comfort “stitching together” messy, real‑world clinical datasets, • Experience with unstructured text or NLP outputs is desirable, • Soft Skills:, • Exceptional attention to detail, • Clear, structured communicator, • Proactive, self‑directed, collaborative

We are seeking a highly technical Technical Analyst to support mobile application monitoring, analytics, and platform engineering initiatives. This role sits at the intersection of native mobile development, observability, and automation, and will play a key role in scaling monitoring capabilities across a large enterprise environment. This individual will act as a subject matter expert for mobile applications, while contributing to tooling, integrations, and automation to improve operational efficiency and visibility. Key Responsibilities Mobile Application Support • Serve as a technical resource for iOS and Android applications, • Support SDK integrations and provide implementation guidance, • Partner with engineering teams to troubleshoot issues and analyze app behavior, • Assist with event tracking, validation, and data capture, • Support onboarding and ensure application stability and performance, • Build automation scripts and internal tools to reduce manual effort, • Develop and maintain API integrations across systems, • Support dashboard development for application performance visibility, • Support rollout of monitoring solutions across applications, • Assist with JavaScript tagging and front-end implementations, • Contribute to prototyping and new solution development, • Leverage AI-assisted tools to improve workflows, • 3–5 years in mobile development or platform engineering, • Experience with iOS (Swift/SwiftUI) or Android (Kotlin), • Strong understanding of mobile architecture, SDK integrations, and performance troubleshooting, • Experience with scripting/automation (Python, shell), • Experience with REST APIs, JSON, and data handling, • Experience with monitoring/analytics tools, • Familiarity with dashboards and visualization tools, • Exposure to hybrid mobile apps, • Experience in enterprise or regulated environments, • Familiarity with CI/CD and developer workflows

Primary Skills: SQL (Expert), Excel (Expert), Python (Intermediate), Machine Learning (Intermediate), Tableau (Advanced) Contract Type: W2 Only Duration: 6+ Months with Possible Extension Location: San Jose, CA () Pay Range: $42 - $47 per hour on W2 #LP Job Summary: We are seeking a Senior Business Analyst to join our Global Risk & Protections team, aiming to enhance risk management strategies and ensure a phenomenal user experience on our global commerce platform. This role entails developing insights from risk data, creating and implementing comprehensive risk policies, and collaborating with cross-functional teams to maintain and adjust risk controls effectively. Candidates will leverage advanced analytics to drive strategic decisions and optimizations across the company. Key Responsibilities: • Develop and articulate risk insights by analyzing data from various sources to improve risk controls., • Design and implement comprehensive risk policy frameworks, addressing credit risk, fraud prevention, and other portfolio risks., • Continuously monitor and optimize risk strategies to enhance their effectiveness., • Collaborate with global teams to establish and implement scalable risk management policies., • Engage with product and analytical teams to craft innovative solutions for risk challenges.Must-Have Skills:, • Proficiency in SQL and Excel., • Experience with analytics and data visualization using Tableau., • Strong quantitative and analytical capabilities.Industry Experience: Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Overview: Join a pioneering team focused on advancing the frontiers of photonics and optical system integration. Our client is an innovative, growth-stage company developing next-generation optical platforms for high-impact applications. Responsibilities • Lead the end-to-end design, simulation, and layout of active and passive photonic integrated circuits., • Perform rigorous electromagnetic and optical simulations using industry-standard tools (FDTD, EME, Mode solvers)., • Create, optimize, and verify complex GDSII layouts for tape-out, ensuring strict adherence to foundry Design Rule Checks (DRC)., • Collaborate directly with external semiconductor foundries to manage multi-project wafer (MPW) runs and integrate process design kits (PDKs)., • Partner with test and packaging engineering teams to define testing protocols, analyze wafer- and die-level data, and correlate empirical measurements with simulation models., • Develop custom automation scripts for layout generation, simulation sweeps, and high-volume data analysis to streamline the design cycle. Requirements • Master’s degree or Ph.D. in Electrical Engineering, Photonics, Physics, Optical Engineering, or a closely related discipline., • Proven industry experience in the design, tape-out, and testing of Photonic Integrated Circuits (e.g., Silicon Photonics, InP, or Silicon Nitride)., • Proficiency with commercial optical and multiphysics simulation software (such as Lumerical, Photon Design, RSoft, or COMSOL)., • Strong hands-on experience with layout and DRC verification tools (such as KLayout, Luceda IPKISS, Synopsys OptoDesigner, or Cadence)., • Fluency in programming languages like Python, MATLAB, or C++ for lab automation, data analysis, and layout scripting., • Deep understanding of waveguide theory, semiconductor physics, and high-speed optical communication principles., • Excellent problem-solving skills with the ability to thrive in a fast-paced, cross-functional startup environment.

WE ARE NOT LOOKING FOR SALESFORCE developers OR Admins! Our client, an early stage startup with a Founder with two IPO's is seeking a Salesforce Architect. Someone who has synchronized Data from Salesforce. This person is an expert in fetching Data from Salesforce in a bulk. Have you built API's to Salesforce? Do you have at least 5 years of Software Engineering experience? Do you have a Computer Science Degree? Can you write clean Python (or other language) code? We are working with a very early stage startup by a Founder who has taken two companies IPO. Great opportunity to work at an early stage startup and build from scratch. Onsite in San Jose . H1B is ok!

🚀 Our client is hiring: Applied Research Engineer (Video AI / Computer Vision) 📍 In-person | San Francisco Our client is building high-performance systems to understand video at internet scale. Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn’t models — it’s high-quality video data and understanding at scale. This team sits at the intersection of: • Computer Vision, • Audio + speech processing, • Multimodal AI systems, • Large-scale data infrastructure Their mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance. 🧠 The role As an Applied Research Engineer, you’ll design and build systems that power large-scale video understanding. You’ll work across both research and production, including: • Building high-performance data and inference pipelines, • Improving model performance through smart preprocessing and optimisation, • Working with APIs, models, and multimodal systems, • Solving ambiguous, research-heavy engineering problems, • Shipping end-to-end systems that directly impact customers and model capability 🔧 What they’re looking for • 2+ years experience in Computer Vision or Audio ML, • Strong Python engineering skills, • Experience with PyTorch or similar ML frameworks, • Ability to work across research + production environments, • Strong communication skills with technical and non-technical stakeholders, • Clean, production-quality coding practices, • Ability to translate customer problems into technical system design, • Passion for video, media, or multimodal AI systems ⭐ Bonus • Open-source contributions, • Early-stage startup experience, • Portfolio of applied ML or systems work 📍 Must be based in or willing to work in-person in San Francisco. If you’re interested in building systems that turn video into intelligence at scale, our client would like to hear from you.

Account Executive, Partnerships / Channel Account Executive - North America (French Required) Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct partnership recruitment for Odoo ERP software, employing data analytics, CRM score tracking, and BANT strategy evaluation, • Develop revenue-increasing strategies using the Odoo scoring lead system, projecting business revenue, identifying up-sell and cross-sell opportunities, and adapting Odoo ERP software for clients with Python and SQL, • Analyze strategic changes and report key metrics by extracting data, analyzing trends, and creating dashboards in Odoo software for managerial reporting, • Meet or exceed monthly Account Executive sales quotas through accurate forecasting, effective pipeline management, and advancing deals to closure within projected timelines, • Work in a consultative manner to design and negotiate tailored implementation packages with future partners Requirements: • Bachelor's degree (preferably in a business-related field) or equivalent combination of education and experience, • Fluency in English and French (professional or native/bilingual: reading, writing, and speaking), • Strong awareness of software and new technologies, • 1+ years of B2B sales experience, • Excellent communication skills, • Curiosity about business operations Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $70,000-$90,000 OTE (on-target earnings), with a base salary range of $50,000-$70,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Partner Account Executive / Channel Account Executive - Dutch Required Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct partnership recruitment for Odoo ERP software, employing data analytics, CRM score tracking, and BANT strategy evaluation, • Develop revenue-increasing strategies using the Odoo scoring lead system, projecting business revenue, identifying up-sell and cross-sell opportunities, and adapting Odoo ERP software for clients with Python and SQL, • Analyze strategic changes and report key metrics by extracting data, analyzing trends, and creating dashboards in Odoo software for managerial reporting, • Meet or exceed monthly Account Executive sales quotas through accurate forecasting, effective pipeline management, and advancing deals to closure within projected timelines, • Work in a consultative manner to design and negotiate tailored implementation packages with future partners Requirements: • Bachelor's degree (preferably in a business-related field) or equivalent combination of education and experience, • Fluency in English and Dutch (professional or native/bilingual: reading, writing, and speaking), • Strong awareness of software and new technologies, • 1+ years of B2B sales experience, • Excellent communication skills, • Curiosity about business operations Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $70,000-$90,000 OTE (on-target earnings), with a base salary range of $50,000-$70,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Technical Support Engineer (Spanish Required) Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Role As a Technical Support Engineer at Odoo, you will deliver technical solutions and support to help drive success for our SMB customers across North America. You'll collaborate with cross-functional teams to resolve complex challenges while serving as a trusted customer advisor. We're seeking a problem solver who can combine strong programming skills, empathy, and excellent communication to help businesses thrive. The ideal candidate understands business processes and can effectively translate technical solutions for various audiences. Responsibilities: • Own and resolve support tickets (customer-reported problems and bugs) for Odoo tools and services, • Investigate technical issues by identifying root causes, describing symptoms, quantifying scope, and proposing both short-term fixes and long-term solutions, • Collaborate with cross-functional teams to resolve customer and partner technical challenges, • Serve as a technical advisor to customers and partners, effectively communicating product value to both technical and non-technical audiences, • Manage enterprise customer support across SaaS, PaaS, and self-hosted environments while delivering excellent customer experience, • Develop solutions using Bash, Python, JavaScript, and PostgreSQL, • Document resolved issues and implement solutions across customer environments to enhance knowledge sharing and continuous improvement Qualifications and Requirements: • Bachelor's degree in Computer Science, Engineering, or related field, • Fluency in English and Spanish (professional or native/bilingual: reading, writing, and speaking), • Experience with Bash, Python, JavaScript, and database scripting (PostgreSQL preferred), • Knowledge of ERP systems (CRM, Accounting, Inventory, POS), • Strong problem-solving skills with the ability to translate technical concepts for diverse audiences, • Effective communication and collaboration skills with team members, partners, and customers Nice to have: • 1-3 years of professional experience (technical support preferred), • Experience with Odoo or similar ERP systems, • Background in SaaS or startup environments, • Experience working with Unix/Linux platforms, • A proactive learning mindset with a focus on continuous improvement, • Additional language skills (Spanish, French, or Portuguese preferred) Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, FSA, HSA Matching, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $90,000-$105,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Hi Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting Agentic AI Python Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment. BeaconFire is based in Central NJ, specializing in Software Development, Web Development and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment. Job Responsibilities: • Collaborate with the team to design and develop high quality Web applications using, • Python, Flask, Django, and related technologies., • Write clean and efficient code, and ensure code maintainability and reusability., • Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking,, • embeddings, indexing, retrieval, reranking, grounding)., • Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs), • using Python-first frameworks., • Perform code reviews to ensure code quality and consistency., • Conduct testing to ensure application quality and reliability., • Create and maintain technical documentation for web applications., • Participate in project planning, estimation, and prioritization., • Stay up to date with the latest technologies for Python development., • Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding, • checks), and improve system quality iteratively., • Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD,, • and security best practices. Requirement: • Experience in software development in Python3., • Decent understanding of the software development/testing life cycle., • Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills, • Experience with version control tools, such as Git., • Experience building RAG solutions (hybrid search, reranking, chunking strategies,, • embeddings, prompt + schema design)., • Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex,, • Semantic Kernel, AutoGen) and tool/function calling patterns., • Solid knowledge of vector search concepts and at least one vector DB in production., • Strong engineering practices: code reviews, testing, telemetry, secure-by-design,, • reliability mindset. Preferred Qualifications: • Master’s Degree in Computer Science, Software Engineering, or related field., • 1+ year professional experience in Python web application development with either, • Flask or Django., • Experience in RESTful API development in Python., • Understanding of Python web application frameworks such as Flask or Django., • Experience with Cloud services, such as AWS., • Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud, • Run/GKE, storage)., • Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)., • Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and, • multilingual retrieval., • Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),, • prompt/version management., • Frontend integration (basic React/Next.js) or platform enablement (internal developer, • tooling). Rameez Khan Technical Recruiter Beaconfire

Engagement Manager (Technology, Media, Telecom) Fractal Analytics is a global, AI‑first company and strategic partner to Fortune 500 organizations. Unlike traditional consulting or services firms, AI is Fractal’s core business—not an add‑on. For over 25 years, Fractal has helped enterprises apply advanced analytics and AI to improve decision‑making at scale. Fractal’s Tech, Media and Telecom practice is purpose‑built to support global TMT organizations across sales, marketing, product development & engineering, supply chain, and enterprise functions. We work with many of the world’s largest Tech companies to design, build, and scale production‑grade AI and GenAI solutions that deliver measurable business and patient impact. Join our team and shape the future of Tech, Media and Telecom through groundbreaking technology solutions! Please visit Fractal | Intelligence for Imagination for more information about Fractal. Location: San Francisco Bay Area. This role requires onsite presence 3 days/week. Note: This position is not eligible for Immigration Sponsorship at this time. Overview: Fractal is looking for a proactive and driven Engagement Manager – Decision Science to join our Decision Science Consulting team in the Bay Area, CA. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting-edge GenAI, Data Science, Engineering, and Behavioral Science capabilities. This is a perfect opportunity for someone who combines consulting-grade systems thinking, strong problem-solving, effective communication, and thought leadership to help our clients solve their most strategic business problems. The ideal candidate will fit well with our key values, i.e. someone who is humble, hungry and smart Responsibilities: • Serve as the primary point of contact for senior client stakeholders as strategic partner., • Lead delivery of complex analytics and AI-driven programs, ensuring quality and timely outcomes., • Proactively innovate solutions leveraging decision science, behavioral insights, and emerging AI capabilities., • Foster collaboration across multi-disciplinary teams and drive delivery excellence., • Identify opportunities to deepen client relationships and expand engagement scope., • Contribute to thought leadership and practice growth initiatives. Qualifications: (Must Have) • 10-14 years of experience in analytics consulting or decision science leadership roles., • Proven ability to manage senior client relationships and deliver complex programs., • Strong problem-solving mindset with first principles thinking., • Established subject matter expert in 1 or more of the following – data science, digital marketing, behavior science, GenAI, product management, software development with strong familiarity or interest in remaining fields, • Excellent communication and team leadership skills; ability to mentor and build high-performing teams., • Culture fit: Humble, Hungry, Smart (HHS) with a collaborative approach. (Preferred Skills) • Familiarity with SQL and Python for problem-solving (hands-on)., • Exposure to consulting frameworks e.g. 5-whys, issue tree, prioritization matrix, • Exposure to project management frameworks e.g. agile, waterfall, scrum, • Exposure to product management concepts e.g. PRD, backlog grooming, user stories, • Experience in digital analytics, experimentation, and data-driven decision-making., • Understanding of Adobe Analytics concepts and digital data structures., • Exposure to standard ML techniques (e.g. regression, clustering, experimentation, forecasting)., • Interest in emerging GenAI applications and trends. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Up to $220,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About Calfus At Calfus, we are known for delivering cutting-edge AI agents and products that transform businesses in ways previously unimaginable. We empower companies to harness the full potential of AI, unlocking opportunities they never imagined possible before the AI era. Our software engineering teams are highly valued by customers, whether start-ups or established enterprises, because we consistently deliver solutions that drive revenue growth. Our ERP solution teams have successfully implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, reducing manual work so teams can focus on high-impact tasks. None of this would be possible without talent like you! Our global teams thrive on collaboration, and we’re actively looking for skilled professionals to strengthen our in-house expertise and help us deliver exceptional AI, software engineering, and solutions using enterprise applications. As one of the fastest-growing companies in our industry, we take pride in fostering a culture of innovation where new ideas are always welcomed—without hesitation. We are driven and expect the same dedication from our team members. Our speed, agility, and dedication set us apart, and we perform best when surrounded by high-energy, driven individuals. To continue our rapid growth and deliver an even greater impact, we invite you to apply for our open positions and become part of our journey! Role: SAP S/4 HANA Finance Functional Consultant Location: San Jose, CA, US Engagement: Contract / Consultant (S/4 Upgrade Program) Duration: 18+ months Start Date: ASAP Hourly Rate: $110 per hour Work Setting: Onsite About the role: • We are seeking an experienced SAP S/4 HANA Finance Functional Consultant who will partner with our Finance and Accounting teams during a major S/4 upgrade/implementation program. This role is not a hands‑on configuration role—the primary SI partner will perform configuration and build., • Instead, this consultant will act as a design advisor and functional guardian, ensuring the solution meets business needs, aligns with best practices, and fits our end‑to‑end Finance processes. The consultant will focus on solution design review, functional documentation, integration validation, and user testing. What You’ll do: 1. Solution Design Support • Participate in Fit/Gap sessions led by the System Integrator; ensure business requirements are accurately captured., • Review SI‑proposed solution designs, configuration approaches, process flows, and functional specifications., • Provide expert feedback on S/4 functionality across:, • FI: GL, AP, AR, AA, Banking, • CO: Cost Centers, Internal Orders, Product Costing, • COPA/Margin Analysis: Account‑based COPA, • Universal Journal and financial closing, • Ensure the design aligns with:, • Industry best practices, • Company financial policies, • S/4 simplification items and future‑ready capabilities 2. Functional Design & Documentation • Support the creation or refinement of Business Requirements Documents, Functional Design Documents, and Process Maps., • Validate SI-created documents, identifying gaps, risks, or impact areas., • Support integration design across MM, SD, PP, and supply chain finance flows. 3. Testing & Quality Assurance • Develop test scenarios, scripts, and expected results for UAT and integration testing., • Support execution of:, • User Acceptance Testing (UAT), • Integration Testing, • Regression Testing, • Validate test results, troubleshoot issues, and work with SI to drive resolution., • Assist in defining acceptance criteria, cutover activities, and readiness checkpoints. 4. Finance Business Partnering • Act as the bridge between:, • Finance & Accounting SMEs, • System Integrator technical and functional teams, • IT program leadership, • Translate business needs into SAP‑aligned requirements., • Recommend process improvements leveraging S/4 capabilities such as:, • Margin Analysis, • Universal Allocation, • Fiori apps for Finance, • Embedded Analytics 5. Support Change, Training, and Hypercare • Assist with training materials and end‑user education., • Support defect triage, signoffs, and hypercare during go‑live stabilization., • Ensure smooth transition of knowledge to Finance users and internal support teams. On your first day, we'll expect you to have: Bachelor’s degree in Finance, Accounting, Business or related experience Functional Experience • 8+ year’s experience in SAP Finance/Controlling., • Strong S/4 HANA Finance knowledge across FI, CO, and COPA/Margin Analysis., • Experience with Finance transformation programs or S/4 upgrades where an SI handled configuration., • Solid understanding of end-to-end processes including:, • Order to Cash, • Procure to Pay, • Record to Report, • Product Costing & Inventory Valuation Design & Testing Skills • Ability to challenge assumptions, identify gaps, and guide SI toward better solutions., • Strong ability to develop test scenarios and lead UAT cycles., • Skilled at reviewing configuration and technical specs—even without configuring directly. We’d Be Excited If You Also Have • MBA in Finance or CPA Degree., • SAP S/4HANA Finance certification., • Experience in manufacturing or semiconductor industries., • Familiarity with advanced financial closing tools, group reporting, or Central Finance., • Knowledge of automation and analytics (e.g., Python, RPA, Copilot for Finance) is a plus., • Excellent communicator across Finance, IT, and SI teams., • Highly organized, detail-oriented, and comfortable leading discussions., • Strong problem-solving and documentation skills. Calfus Inc. is an Equal Opportunity Employer. That means we do not discriminate against any applicant for employment, or any employee because of age, color, sex, disability, national origin, race, religion, or veteran status. All employment is decided based on qualifications, merit and business need.

Most public safety benchmarks for frontier models test single-turn refusals. We focus on pushing frontier models in multi-turn, high-pressure conversations. A model that cleanly refuses to write an insecure script on Turn 1 will often fail by Turn 8 under sustained pressure from a "frustrated senior developer" persona. We call this alignment drift, and as the industry shifts from stateless chatbots to long-horizon autonomous agents, it's one of the most consequential open problems in the field. What we're building Atella builds the empirical infrastructure to test AI character and stability under pressure. The company was co-founded by Dr. Roy Perlis (Chair of Psychiatry at Harvard/MGH, Editor of JAMA AI) alongside a team of ML researchers. We build multi-turn, persona-driven adversarial simulation harnesses. Rather than just prompting models for bad output, we use clinical behavioral science to construct adversarial agents that apply specific psychological pressure over 20+ turns. We then mathematically map the point where a model's safety guardrails collapse, tracking signals like response-length decay, persona sensitivity, and failure-cascade rates. We run the industry's leading dynamic leaderboards for AI Safety and Code Security, and our data is actively used by safety teams at the frontier labs. The role We're hiring a Technical Research Engineer to help scale STELLA, our multi-turn evaluation engine. The work sits at the intersection of ML research, automated red teaming, and serious software engineering. What you'll do: • Scale the harness. Build and optimize the infrastructure that runs LLM-driven adversarial personas against frontier models for thousands of turns concurrently., • Design adaptive attacks. Implement novel automated red-teaming strategies from recent literature — tree-based search, multi-agent debate, dynamic prompt generation — to surface failure modes more efficiently., • Extract signal from noise. Build analysis pipelines over thousands of raw transcripts: failure-cascade probabilities, behavioral-drift metrics, persona sensitivity scores., • A strong software engineer. You write clean, scalable Python and are fluent with LLM APIs, async programming, and data pipelines., • You can read a paper on Constitutional AI or persona modeling, extract the core math or architecture, and have a working implementation shortly after., • You're intellectually aggressive about breaking things. You care deeply about AI safety but prefer empirical, transcript-level evidence over abstract alignment debates., • You get an unusually direct look at the failure modes of the world's most advanced AI systems., • You'll work alongside top clinical scientists from Harvard/MGH and collaborate closely with the safety and red teams at the frontier labs. Compensation: $250,000–$300,000 base + 0.5%–1% equity

Role: Data Steward/Data Scientist & Reporting Analyst Location: Cupertino, CA Type: Contract Job Summary: We are looking for a rare blend of analytical depth, data ownership mindset, and modern AI fluency. As a senior data steward & scientist you will sit at the intersection of advance analytics, knowledge representation, data governance and intelligent automation - helping us unlock the full value of our data assets whole ensuring data is trusted, well understood and for purpose. You will not just analyze data - you will govern the definitions that describe it, and deploy AI agents that automate decision on top of it. Key Responsibilities: Data Science & Analytics: Have familiarity with designing, developing and deploying statistical models, machine learning algorithms, and analytical framework to support channel business decisions Have hands on experience in conducting exploratory data analysis to surface insights on sales performance, inventory Have familiarity with building an maintaining forecasting models Translate complex analytical outputs in clear, actionable recommendations for business audience Data Governance & Metric Definition: Serve as the data steward for key data domains owning definitions, lineage and quality standards Develop an maintain data dictionaries, business glossaries and lineage documentation Define and monitor data quality riles, triage and resolve data issues in partnership with engineering Ensure AI outputs and agent generated content are traceable back to governed, trusted data sources Design, build and deploy AI agents that automate recurring analytical workflow in data governance What You’ll bring Required 5+ years of experience across data science, data engineering, or analytics — with at least 2 years in a retail or consumer goods environment Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar) Familiarity with causal inference methods and experiment design Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar) Practical experience building or deploying AI agents or LLM-powered applications Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j) Experience with data governance practices — data quality, metadata management, or data stewardship Ability to communicate complex findings clearly to non-technical stakeholders Nice to have: Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar) Exposure to ontology design or entity resolution in a retail context Familiarity with data governance frameworks (DAMA-DMBOK or simila Graph query languages (SPARQL, Cypher) Cloud data platform experience (Snowflake, BigQuery, Databricks)

POSITION: Data Engineer AI Location: Sunnyvale, CA, USA (Onsite) Experience level- 10-15 Years Must to have- Snowflake, Tableau, AWS, DBT, SQL, Agentic AI/ML Mandatory Skills: • Create and improve data visualization tools like Tableau & ThoughtSpot, • Work with Snowflake & it’s built in infrastructure, SQL, Python, Excel, & Numbers, • Experience presentation/project management Tools like Quip, Keynote, Miro, Slack, • Experience and understanding of machine learning tools like datarobot, • Project Management experience, • to provide support to a wide variety of business teams, • Good Interpersonal, relationship building, communication and presentation skills

Position: Data Engineer Location: Sunnyvale, CA Duration: Full-Time/ W2 Contract only Job Description: We are looking for a skilled Data Engineer with strong expertise in Snowflake and AI/ML technologies. The ideal candidate will be responsible for building scalable data pipelines, enabling advanced analytics, and supporting AI-driven solutions. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Snowflake Implement data ingestion, transformation, and integration processes Work with structured and unstructured data for AI/ML use cases Collaborate with data scientists to deploy and optimize AI/ML models Optimize Snowflake performance, cost, and data architecture Ensure data quality, governance, and security standards Support real-time and batch data processing frameworks Required Skills: Strong experience with Snowflake (data modeling, performance tuning, security) Proficiency in SQL and Python Experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt) Hands-on experience with cloud platforms (AWS/Azure/GCP) Understanding of AI/ML concepts and model deployment Experience with big data technologies (Spark, Kafka is a plus) Preferred Skills: Experience with MLOps and model lifecycle management Knowledge of data lake and lakehouse architectures Familiarity with GenAI/LLM integration is an added advantage Soft Skills: Strong problem-solving and analytical skills Good communication and stakeholder management Ability to work in a fast-paced, collaborative environment Regards~ Jessica Ingle

Head of Engineering position with a Series A scale up who care about building 3D AI tools for the physical world. You'll be working alongside a deeply technical, mission driven teaming building the AI layer that future hard tech innovation will run on. They received $30m of Series A funding from the likes of A16z and are founded by second time CEO in this space. This is a high impact, hands on lead position shaping the core product and architecture of their intelligent design environment. You will design & build scalable full stack systems (python & react ideally) and architect the backend on AWS and modern data infrastructure. A key element of this role will be ownership and scale. This role blends product thinking, infrastructure depth, and applied AI integration, ideal for someone who has shipped complex production systems and enjoys turning technical capability into elegant user experiences. Comp 400k plus extra benefits Location: Hybrid - SF

Embedded Firmware Engineer (Embedded Systems) Summary: This role focuses on low-level embedded firmware development tightly coupled with hardware. The ideal candidate will develop, debug, and maintain embedded C firmware, work directly with hardware designs, and own firmware issues from identification through resolution in a fast paced, cross functional environment. Key Responsibilities: • Develop, maintain, and debug low level embedded C firmware interacting directly with hardware., • Diagnose system and firmware issues across products and code branches., • Review schematics and validate firmware behavior against hardware design., • Generate engineering binaries, submit changes to repositories, and manage build and packaging workflows., • Coordinate closely with hardware, factory, program management, and technical teams., • Drive issues to closure by tracking tasks, evaluating priorities, and proactively removing blockers., • Communicate progress, risks, and outcomes clearly to stakeholders., • Participate in regular sync calls with China based teams during late afternoon or evening hours. Required Skills & Experience: • Up to 10 years of relevant embedded firmware and driver development., • Strong Embedded C experience, including low level debugging skills and knowledge of dynamic memory allocation, • Strong embedded C experience with solid low level debugging skills, • Recent experience with hardware design concepts and ability to read schematics, • Strong knowledge with interfaces such as GPIO, SPI, I2C. USB (high speed), • Python and or Lua scripting to automate testing and debug workflows, • Create scripts and tools to improve efficiency and reliability of firmware validation, • Strong communication, organization, and multitasking skills, • BS in Computer Engineering or equivalent experience, MS is a plus Type: Full Time Location: Cupertino, CA (Onsite Monday thru Friday) Pay Rate Range: $53-$66/h (DOE) Submit resumes to Diane Chen 408.550.2800 x130

Staff Analog IC Design Engineer – Mixed Signal / Photonics (Hybrid) | Permanent | Deep Tech Client We're partnering with a pioneering deep tech company building photonics-enabled computing systems. They sit at the intersection of analog IC design and silicon photonics, a space that's attracting serious investment and some of the most interesting design challenges in the industry right now. They need a Staff mixed signal engineer to own the design of precision data converters, biasing circuits and photonic control drivers. This is a system-level and transistor-level role where your work directly enables the control and tuning of integrated photonic components. What you'll be doing: Designing ADC and DAC architectures including SAR, pipeline, current-steering and resistor-string topologies. Building precision references, bandgap circuits, LDO regulators and bias networks. Designing heater drivers and current sources for thermal tuning of photonic devices. Integrating third-party IP including ADC/DAC blocks, SerDes and PHY interfaces. Developing AMS verification environments using Spectre/AMS Designer and behavioral models in Verilog-A or wreal. Supporting silicon characterization and test correlation. What you need: 8 to 10 years in mixed-signal IC design. Proven ADC or DAC tape-out experience. Cadence Virtuoso, Spectre/AMS. Scripting in Python or MATLAB. MEng, MSc or PhD in Electronic or Electrical Engineering. Familiarity with silicon photonics components is a strong advantage but not a hard requirement. The photonics angle makes this a genuinely rare brief. If you want to be close to the hardware that's shaping the next generation of computing, this is worth a conversation.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As a Full Stack Engineer focusing on Cerebras’ manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. Responsibilities • Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests., • Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests., • Create a distributed data storage framework to sync test data across multiple manufacturing facilities., • Collaborate with data engineers and data scientists to create interactive reports for visualizing test results., • Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle. Skills and Qualifications Required • Bachelor’s degree in computer science, computer engineering, or related field., • 3+ years of professional experience in full-stack software development., • Strong proficiency in at least one advanced programming language (e.g. Python, C++)., • Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis)., • Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control., • Experience with application development in Windows and/or Linux., • Experience with cloud platforms (e.g. AWS, GCP)., • Experience with data engineering, data analytics, and/or business intelligence., • Experience with UI/UX., • Experience with networking and cybersecurity. The base salary range for this position is $175,000 to $220,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: • Build a breakthrough AI platform beyond the constraints of the GPU., • Publish and open source their cutting-edge AI research., • Work on one of the fastest AI supercomputers in the world., • Enjoy job stability with startup vitality. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

HCLTech is looking for a highly talented and self- motivated [QA Automation Engineer] to join it in advancing the technological world through innovation and creativity. Job Title: [QA Automation Engineer] Job ID: (83467) Position Type: Full-time Location: Cupertino, CA Background: Role Title Gen Ai Architect Summary We’re looking for a System QA Automation Engineer with strong AI focus to drive quality, reliability, and innovation across battery‑powered products at scale. This is a hands‑on, high‑impact role working at the intersection of System validation (Like Battery, Thermal, Video, Camera, VR), automation, and AI‑driven engineering tools. You’ll collaborate closely with Hardware, Firmware, Systems, and AI teams, own end‑to‑end validation, and help build enterprise‑grade, agentic AI automation solutions that improve test efficiency, insight, and decision‑making. Key Responsibilities • Own end‑to‑end System validation including functional, performance, and reliability testing in Lab, • Design, execute, and maintain manual and automated test cases across product lifecycles, • Operate and support test labs (setup, maintenance, troubleshooting), • Perform initial triage, failure analysis, and debugging of test issues, • Build and enhance Python‑based automation frameworks, test utilities, and analysis tools, • Apply Generative AI, AI agents, and agentic automation to accelerate testing, triage, and reporting, • Architect and deploy AI‑powered SQA tools used by engineering teams, • Analyze large‑scale test data and present clear, data‑driven insights to stakeholders Required Skills & Qualifications • B.S./M.S. in CS / EE with 3+ years of experience in QA Automation, battery validation, hardware or embedded systems testing, • Strong Python skills for automation and data analysis, • Experience working in lab‑based, hardware‑dependent test environments, • Proven ability to debug complex failures and drive root‑cause resolution, • Exposure to Generative AI / AI agents / agentic automation in enterprise or production settings, • Strong communication, documentation, and cross‑functional collaboration skills Pay and Benefits Pay Range Minimum: $ 120000 per Year Pay Range Maximum: $ 1400000 Per Year HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Job Title: Senior Hardware Verification & Validation Engineer (PCIe) About the Role: We are seeking an experienced and highly technical Hardware Verification & Validation Engineer to drive the end-to-end testing of our cutting-edge ASIC designs. In this dynamic role, you will bridge the gap between pre-silicon verification and post-silicon lab validation. You will architect robust UVM testbenches for next-generation PCIe interfaces and lead hands-on silicon bring-up in the lab. If you have deep expertise in high-speed IO and thrive in cross-functional debugging environments, we want you on our team. Key Responsibilities: Pre-Silicon Verification (PCIe Focus) • Verification Planning: Architect and execute comprehensive verification plans for PCIe Switch, Root Complex, and Endpoint configurations., • Testbench Development: Build and scale UVM-based environments from scratch to rigorously test complex PCIe protocol behaviors, including LTSSM transitions and link training., • Performance Verification: Leverage advanced simulation and emulation platforms to ensure high-performance throughput and strict protocol compliance across PCIe Gen 4, Gen 5, and Gen 6., • Cross-Functional Debug: Partner closely with RTL design, architecture, and software teams to root-cause and rapidly resolve functional failures. Key Responsibilities: Post-Silicon Validation & Labs • Silicon Bring-up: Lead the initial power-on, initialization, and functional testing of high-speed IO interfaces, with a specific focus on PCIe Gen 5/6., • Lab Validation: Utilize high-end laboratory equipment—including oscilloscopes, Bit Error Rate Testers (BERTs), and protocol analyzers—to validate electrical and functional correctness., • Failure Analysis: Reproduce complex silicon bugs in a physical lab environment and perform deep root-cause analysis to remediate hardware issues., • Validation Automation: Develop and maintain robust automation frameworks using Python or C++ to streamline large-scale validation workflows and data collection. Qualifications • Education: BS or MS in Electrical Engineering, Computer Engineering, or a closely related technical field., • Experience: 6–8+ years of hands-on, proven experience in ASIC development, pre-silicon verification, or post-silicon system validation., • Protocol Expertise: In-depth, structural knowledge of all PCIe protocol layers (Physical, Data Link, and Transaction)., • Programming Skills: Strong coding proficiency in Python, C/C++, and SystemVerilog., • Tools & Environments: Solid familiarity with Linux environments and standard hardware debugging tools (e.g., JTAG, GDB, Trace32).

Our Company: Genista Biosciences is a rapidly growing biotech company based in San Jose, CA that is dedicated to improving public health and food safety, both on the community and global scale. To revolutionize food safety by creating a cutting-edge platform based on a unique combination of robotics, software, and technology. Our ability to offer fast and accurate testing while still being cost-effective allows every member of the food supply chain (big or small) to be rest assured that the food they produce is safe thereby making the world a better place. Our Goal: As our first Network and Security Engineer, you will own the stability and security of our hybrid environment. You will manage our physical Ubiquiti stack at the office/lab and partner with DevOps to secure our production AWS environment. This is a high-impact role where you will build the automation and security frameworks that allow our biotech research to scale safely. Job Responsibilities: 🏢 On-Premise & IT Operations • Ubiquiti Management: Full ownership of UniFi/UISP infrastructure, including Dream Machines, switches, and APs., • Lab Connectivity: Ensure high-uptime network performance for critical research equipment and automated lab workflows., • Access Control: Manage physical and digital access, including RADIUS, VPNs, and WPA3 enterprise security., • Shared Responsibility: Collaborate with DevOps to harden AWS VPCs, IAM roles, and S3 bucket policies., • Vulnerability Remediation: Use AWS Inspector or similar tools to identify and fix security gaps in cloud-based applications., • Scripting: Build automations (Python, Bash, or Terraform) to eliminate manual IT tickets and repetitive tasks., • Monitoring: Set up proactive alerting for network health and security threats using UniFi logs and AWS CloudWatch. Qualifications: • Networking: 4+ years of experience with deep knowledge of VLANs, Firewall rules, and routing., • Stack Expertise: Proven experience managing Ubiquiti (UniFi) hardware and AWScloud services., • Security First: Strong understanding of the OWASP Top 10 and cloud security best practices., • Startup DNA: Comfortable working in a fast-paced biotech environment where requirements evolve quickly. 💡 Ready to apply? Join us in building the infrastructure that powers the next generation of food safety breakthroughs.

Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution If you are a Computer Architect who wants to impact the transformation of the next evolution of computing, we would like to talk to you. Efficient is hiring an Computer Architect with experience in design-space exploration across the hardware-software interface. We seek individuals who are comfortable designing and executing experiments and interpreting and visualizing data. This is a unique opportunity to get in at the ground level and have influence on our products as we move from initial stages of product development to market release and scaled volume production. Join our team and help us shape the future of computing at the edge and beyond! Key Responsibilities • Work with Compiler and Digital Design teams to define the hardware-software interface for Efficient’s Fabric architecture., • Work with Applications and Embedded teams to analyze the performance and efficiency of key applications on the Fabric and competing architectures., • Build simulation infrastructure to quickly and accurately model the performance of the Fabric., • Build visualization dashboard infrastructure to continuously monitor the performance and efficiency of the Fabric architecture., • Design & execute experiments to perform a design-space exploration of the Fabric architecture and optimize it for key applications., • Collect and analyze data from design-space explorations., • Write internal reports, white papers, and research publications on the Fabric architecture. Required Qualifications • Master’s degree in Computer Science or Electrical Engineering and 3+ years of industry experience, or a doctoral degree in Computer Science or Electrical Engineering., • Extensive experience (3+ years) in designing and implementing architectural/microarchitectural simulators., • Excellent coding skills in C++, Bash, and Python., • Familiarity with data analysis and visualization tools like numpy, matplotlib, and Mathematica., • Excellent technical communication skills in presentation and writing. Preferred Qualifications • Track record of research publications in computer architecture. We offer a competitive salary for this role, generally ranging from $160,000 to $220,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.

Who We Are: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries. We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills: Experience Level: • Senior Design Verification Engineer( 6-14 Years of relevant experience required), • Design Verification Lead- (15+ Years of relevant experience required What will you do: • Develop functional tests based on verification test plan, • Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage, • Debug, root-cause and resolve functional failures in the design, partnering with the design/arch team, • Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality What You Will Bring: • Experience using constrained-random, coverage driven verification or C/C++ verification, • Experience in verifying a IP block using standard Design Verification (DV) based techniques, • Experience in Electronic Design Automation (EDA) tools and scripting (Python, Tool Command Language (TCL), Perl, Shell) used to build tools and flows for verification environments, • Understanding in at least one of the following areas: computer architecture, Central Processing Unit (CPU), Graphics Processing Unit (GPU), networking, interconnects, fabrics or similar designs, • Experience debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools, • Experience with revision control systems like Mercurial (Hg), Git or SVN, • Experience working in a CPU/GPU environment If Interested, Please share your resume at or easy apply on the post.

Do you thrive in a high-pressure environment - cutover weekends, 2 AM crisis calls, vendor conflicts? If yes, then BCI has the job for you!! We are seeking a hands-on Integration & Cutover Manager to lead the technical execution of a complex SAP S/4HANA implementation involving 15-20 system integrations (Workday, ADP, Concur, MuleSoft, IFS, Oanda, Dassian, SAC). This role is accountable for end-to-end integration testing, cutover simulation/dry runs, and flawless go-live execution. You will be the "single throat to choke" for integration coordination across 5+ vendor teams and internal IT/business stakeholders. Key Responsibilities Integration Testing & Coordination (40%) • Design and document 25+ end-to-end integration test scenarios across Workday → Entra ID → SAP → ADP → IFS → Concur ecosystem, • Build and maintain integration test execution dashboard (track pass/fail rates, defect aging, vendor accountability), • Coordinate daily integration testing sessions with vendor teams (Vantor SAP, Workday consultants, ADP, MuleSoft, Dassian), • Facilitate root cause analysis for integration failures, drive resolution with technical deep-dives (read logs, debug APIs, trace data flows), • Validate integration performance (latency, throughput, error rates) meets SLAs before cutover freeze, • Build comprehensive 120+ page hour-by-hour cutover playbook (Friday 6 PM → Monday 6 AM) with task owners, dependencies, rollback triggers, • Facilitate 2+ full cutover dry runs (simulate entire go-live weekend in test environment, capture timing/issues, refine runbook), • Define objective Go/No-Go criteria (50 measurable gates: data migration accuracy, integration success rates, smoke test results), • Document rollback procedures with step-by-step instructions to revert to legacy systems within 4 hours if cutover fails, • Lead 48-hour cutover war room (24/7 during go-live weekend), facilitating real-time triage and decision-making, • Track runbook adherence in real-time (digital checklist updated hourly, flag schedule slips immediately), • Coordinate vendor resources (ensure Vantor, MuleSoft, Workday, ADP on-call, escalate to vendor leadership if response slow), • Provide executive status updates every 2 hours (Green/Yellow/Red, issues encountered, mitigation actions), • Facilitate Sunday 4 PM Go/No-Go decision with steering committee (present objective data, risk assessment, recommendation), • Lead Week 1-2 post-go-live hypercare war room (daily 8 AM and 4 PM triage calls), • Monitor integration health dashboards (99.5%+ uptime target), escalate vendor support for P1/P2 incidents within SLA, • Track and resolve post-cutover defects (prioritize P1 payroll-blocking issues, coordinate vendor fixes), • Facilitate first full payroll cycle validation (SAP → ADP → bank deposits, ensure zero missed paychecks), • Mediate vendor conflicts when integration failures occur (prevent finger-pointing, drive collaborative problem-solving), • Facilitate weekly integration sync meetings (Vantor, MuleSoft, Workday, ADP, Dassian vendors + IT/business), • Escalate to vendor account executives if delivery quality poor or resources under-staffed, • Communicate integration status to business stakeholders (HR, Finance, Procurement) in non-technical terms Required Qualifications Must-Have Experience: • 7+ years managing complex system integrations (5+ systems) in ERP implementations (SAP, Oracle, Workday, or similar), • 3+ hands-on cutover executions as cutover manager/lead (not just participant—you owned the runbook and war room), • Deep technical fluency: Read API logs, debug integration errors, understand middleware (MuleSoft, Dell Boomi, Workato), speak fluent REST/SOAP/RFC, • Experience with HCM/Payroll integrations (Workday ↔ ADP or similar), understand criticality of payroll accuracy, • Proven ability to lead under pressure (48-hour cutover war room, make real-time decisions, stay calm when things break), • Integration platforms: MuleSoft (preferred), Dell Boomi, Informatica, or Workato, • Identity systems: Entra ID (Azure AD), Okta, Active Directory, SAML/OAuth 2.0, • SAP: Understand RFC, iDoc, OData, BAPI (don't need to code ABAP, but must read technical specs), • APIs: REST, SOAP, JSON, XML—can test APIs using Postman, read Swagger docs, • Databases: Write SQL queries for data validation/reconciliation, • Command presence: Can run a war room with 20 people, make decisions quickly, keep team focused, • Vendor management: Hold vendors accountable without damaging relationships, escalate appropriately, • Communication: Translate technical issues to executives ("integration latency" → "payroll at risk"), write clear status updates, • Bias for action: Don't wait for perfect information—make pragmatic decisions with 80% data, • Stress tolerance: Thrive in high-pressure environments (cutover weekends, 2 AM crisis calls, vendor conflicts) Preferred Qualifications • SAP S/4HANA implementation experience (understand FI, CO, MM, HR modules, know how data flows), • Workday HCM implementation experience (understand Workday data model, EIB, Studio, API frameworks), • PMP or similar project management certification, • Experience with SAP Analytics Cloud (SAC) or similar BI/analytics platforms, • Federal contractor experience (understand DCAA labor charging, ITAR data controls, SOX compliance), • Scripting/automation skills (Python, PowerShell for data validation, API testing automation)

Job Title: Factory Automation - Software Development Engineer Responsibilities: • Develop SECS/GEM Factory automation solutions., • Solution life cycle: Requirements analysis, solution design, code development, unit test, documentation, deployment of solutions in 24x7 manufacturing environments., • Design & product development of VGEM software modules for SOC & Parametric testers., • On-site test cell integration & support. Required skills / experience: Minimum Qualifications: • BS Electrical Engineering (BSEE), Computer Science (BSCS), or equivalent., • 5-10 years of experience with SECS/GEM factory automation., • Strong analytical & problem-solving skills, communication skills, & ability to work in a global team., • Travel within US or outside US for project delivery & integration. Industry Skills Required: • Basic understanding of SECS/GEM & 300mm SEMI standards including E5, E30, E40, E94., • Basic understanding of Semiconductor test including parametric test., • Automatic Test Equipment (ATE) tester platforms experience Software Skills: • Software development experience in C++, Tcl/Tk, Python, Qt., • Red Hat/CentOs Linux operating system administration (networking, rpm installation/creation, etc.), • Linux shell commands and scripts, SQL databases. Desired skills / experience: • Advantest V93000 (93K) SmarTest tester operating system., • Production APIs and production applications., • Parametric test analytics., • Operator interface development., • Working with third party software vendors.

Channel Account Executive - North America Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct company partnership recruitment for the Odoo ERP (enterprise resource planning) Software. Using the following methods:, • Research-based on data analytics, score tracking using CRM (customer relationship management), and evaluating candidates using the BANT strategy (budget authority needs timeline)., • Develop strategies to increase revenue using the Odoo scoring lead system to project the increase in business revenue, identify potential up-sells and cross-selling, and help adapt Odoo ERP software for future clients using Python and SQL (programming languages)., • Analyze strategic changes and report key metrics by extracting data from Odoo software, analyzing trends, and creating dashboards using Odoo software to report to the manager., • Meet or exceed monthly assigned Account Executive sales quotas by accurately forecasting, effectively managing a pipeline of opportunities, and advancing deals to closure per projected timelines, • Work in a consultative fashion to design tailored implementation packages and negotiate its content with future partners Requirements: • Bachelor's degree (business-oriented major preferred) or an equivalent combination of education and experience, • Strong software and new technologies awareness, • 1+ years experience in B2B sales, • Excellent communication skills, • Curiosity to learn how businesses operate Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated salary range for this role is $70,000-$90,000 OTE (on-target earnings), which includes a base salary range of $50,000-$70,000. Actual salaries may vary based on factors such as education, training, experience, professional achievements, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Technical Support Engineer Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Role As a Technical Support Engineer at Odoo, you will deliver technical solutions and support to help drive success for our SMB customers across North America. You'll collaborate with cross-functional teams to resolve complex challenges while serving as a trusted customer advisor. We're seeking a problem solver who can combine strong programming skills, empathy, and excellent communication to help businesses thrive. The ideal candidate understands business processes and can effectively translate technical solutions for various audiences. Responsibilities: • Own and resolve support tickets (customer-reported problems and bugs) for Odoo tools and services, • Investigate technical issues by identifying root causes, describing symptoms, quantifying scope, and proposing both short-term fixes and long-term solutions, • Collaborate with cross-functional teams to resolve customer and partner technical challenges, • Serve as a technical advisor to customers and partners, effectively communicating product value to both technical and non-technical audiences, • Manage enterprise customer support across SaaS, PaaS, and self-hosted environments while delivering excellent customer experience, • Develop solutions using Bash, Python, JavaScript, and PostgreSQL, • Document resolved issues and implement solutions across customer environments to enhance knowledge sharing and continuous improvement Qualifications and Requirements: • Bachelor's degree in Computer Science, Engineering, or related field, • Experience with Bash, Python, JavaScript, and database scripting (PostgreSQL preferred), • Knowledge of ERP systems (CRM, Accounting, Inventory, POS), • Strong problem-solving skills with the ability to translate technical concepts for diverse audiences, • Effective communication and collaboration skills with team members, partners, and customers Nice to have: • 1-3 years of professional experience (technical support preferred), • Experience with Odoo or similar ERP systems, • Background in SaaS or startup environments, • Experience working with Unix/Linux platforms, • A proactive learning mindset with a focus on continuous improvement, • Additional language skills (Spanish, French, or Portuguese preferred) Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, FSA, HSA Matching, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated annual compensation range for this role is $90,000-$105,000. Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

Overview: Our client, a Global Fortune 50 organization and one of the world’s largest distributors of healthcare systems, medical supplies & pharmaceutical products, seeks an accomplished Senior Site Reliability Engineer. * Candidate must be authorized to work in USA without requiring sponsorship * Location: San Francisco CA or Irving TX 75039 (Largely Remote) Duration: 6 weeks contract w/ possibility of extension or conversion to FTE role Notes: • While this position is primarily remote, occasional onsite presence may be required in the future in either San Francisco, CA or Irving, TX, depending on the candidate’s location., • Work hours: Mon – Fri, 8:00am – 5:00pm Pacific Time. Description: • Lynx is transforming from a traditional production support model to an automation-first, AI-assisted reliability platform following its migration to Azure cloud., • This senior/staff-level Site Reliability Engineer role focuses on operating, stabilizing, and improving highly available systems while driving reliability automation using agentic AI across services., • You will design, operate, and support scalable, observable production systems in Azure, while participating in and leading on-call rotations and high-severity incident response. Responsibilities include root cause analysis, blameless post-incident reviews, and implementing corrective actions., • You will own and enhance observability using Dynatrace (dashboards, alerts, SLIs/SLOs), troubleshoot production issues across Java-based services, Kubernetes, and cloud infrastructure, and collaborate with cross-functional teams to reduce risk and operational toil., • A key focus of this role is designing and building AI-driven automation for incident ingestion, triage, investigation, and remediation using multi-agent patterns, with appropriate guardrails and human-in-the-loop controls., • You will also develop automation for incident communication, reporting, and continuous improvement, while remaining accountable for system reliability and AI-driven operations in production., • The role combines software engineering and systems expertise to automate workflows, improve performance, and enhance system resilience using tools such as Azure, Kubernetes, Docker, GitHub Actions, Dynatrace, Python, Bash, and Ansible., • Additional responsibilities include developing CI/CD pipelines, managing infrastructure, improving monitoring and observability, and supporting Java applications in production environments., • As a senior leader, you will define reliability standards, influence system architecture, lead incident response efforts, and serve as an escalation point for critical issues., • You will drive proactive reliability improvements through monitoring and reporting, communicate system health and risks to leadership, and mentor team members while supporting hiring and onboarding efforts., • Ensure compliance with HIPAA and organizational security and regulatory requirements. Qualifications: • Participation in a scheduled on-call rotation is required., • 7+ years of Site Reliability Engineering or Production Engineering experience., • Strong experience with Azure cloud infrastructure, Kubernetes, Docker, Java production systems, CI/CD (GitHub Actions), and observability platforms (Dynatrace preferred)., • Demonstrated experience automating infrastructure and operational workflows., • Deep understanding of SRE principles (SLIs, SLOs, error budgets)., • Experience with Ansible., • Solid understanding of Linux and Windows system administration., • Experience working with onsite and offshore teams., • Strong communication skills (written and verbal)., • Strong organizational skills and attention to detail., • Experience in healthcare software or compliance solutions is a plus., • Strong analytical and problem-solving skills. Preferred / Differentiating Qualifications: • Experience designing automation that replaces or materially reduces on call toil., • Experience building or orchestrating AI agents applied to operational workflows., • Familiarity with multi agent architectures or distributed automation systems., • Strong judgment around risk management, safety boundaries, and human in the loop design., • Experience working in healthcare or regulated environments. I'd love to talk to you if you think this position is right up your alley, and assure a prompt communication, whichever direction. If you're looking for rewarding employment and a company that puts its employees first, we'd like to work with you. Satwinder “Sat” Singh Lead Technical Recruiter Company Overview: Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally; as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients’ businesses forward. Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.

Job Title: MLOps Engineer Location: Bay Area (Hybrid) Job Type: Contract Overview Tachyon Predictive AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI., • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)., • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining., • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability), • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs, • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment Qualifications • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations., • Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)., • Experience with cloud platforms and containerization (Docker, Kubernetes)., • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks., • Solid understanding of software engineering principles and DevOps practices., • Ability to communicate complex technical concepts to non-technical stakeholders.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Partner Account Executive / Channel Account Executive - North America Hybrid (3 days onsite, 2 days remote) – Brisbane, CA To get the best candidate experience, please consider applying for a maximum of 3 applications within 12 months to ensure you are not duplicating efforts. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship responsibilities for employment visas at this time. About Odoo Odoo is an open-source enterprise resource planning (ERP) platform that helps companies manage and streamline their operations through a single, integrated system. Our modular suite of business applications—covering everything from accounting and inventory to CRM and project management—works together seamlessly to support efficiency and growth. Learn more about us here. About the Job: Odoo is hiring Account Executives to join our North America Partnerships team. In this role, you'll pursue warm leads and recruit new organizations to join Odoo’s partner network across the region. You'll introduce partners to Odoo’s suite of business applications, which they can offer alongside their existing services to create new revenue streams. You'll also manage partner relationships within a defined territory and guide them through onboarding and the sales cycle. We provide full training on the Odoo ecosystem so you can successfully close deals and support tailored implementations. We’re looking for proactive, results-driven individuals with a strong “get-it-done” mindset. Responsibilities: • Conduct company partnership recruitment for the Odoo ERP (enterprise resource planning) Software. Using the following methods:, • Research-based on data analytics, score tracking using CRM (customer relationship management), and evaluating candidates using the BANT strategy (budget authority needs timeline)., • Develop strategies to increase revenue using the Odoo scoring lead system to project the increase in business revenue, identify potential up-sells and cross-selling, and help adapt Odoo ERP software for future clients using Python and SQL (programming languages)., • Analyze strategic changes and report key metrics by extracting data from Odoo software, analyzing trends, and creating dashboards using Odoo software to report to the manager., • Meet or exceed monthly assigned Account Executive sales quotas by accurately forecasting, effectively managing a pipeline of opportunities, and advancing deals to closure per projected timelines, • Work in a consultative fashion to design tailored implementation packages and negotiate its content with future partners Requirements: • Bachelor's degree (business-oriented major preferred) or an equivalent combination of education and experience, • Strong software and new technologies awareness, • 1+ years experience in B2B sales, • Excellent communication skills, • Curiosity to learn how businesses operate Nice To Have: • Balances a serious approach to work with camaraderie, fostering a playful and friendly atmosphere among colleagues, • Experience with accounting, manufacturing, inventory, CRM, POS, and/or E-commerce software, • SaaS or PaaS pre/post-sales experience, • Intrinsic motivation and curiosity to learn more about business owners and their businesses Compensation and Perks: • Healthcare, Dental, Vision, Life Insurance, Flexible Spending Account, Health Savings Account, 401K Matching, and Commuter Benefits, • PTO (Paid-time-off), paid sick days, and paid holidays, • Employee Assistance Program: 3 X 1-hour telehealth calls with certified mental health professionals, • $100 towards a work-from-home office setup, • Evolve in a nice working atmosphere with a passionate, growing team!, • Chef-prepared lunches - snacks, fruit, and coffee/drinks on tap!, • Company-sponsored events for groups of 6+ employees The estimated salary range for this role is $70,000-$90,000 OTE (on-target earnings), which includes a base salary range of $50,000-$70,000. Actual salaries may vary based on factors such as education, training, experience, professional achievements, business needs, and location. Ensuring a diverse and inclusive workplace where we learn from each other is core to Odoo's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

About Alterion Alterion is building the control plane for the agentic enterprise - enabling organizations to safely deploy, monitor, and scale autonomous AI agents with full visibility and governance. Our platform unifies semantic observability, dynamic policy enforcement, and distributed monitoring to ensure agent ecosystems remain trustworthy, compliant, and efficient at scale. As part of this mission, the Intelligence Platform is responsible for understanding, scoring, and optimizing agent behavior across the enterprise — including accuracy, security, cost, drift, anomalous behavior, and runtime dynamics. Role Overview We are seeking a Senior Full Stack Engineer to design, build, and own core backend and distributed systems that power Alterion’s platform. This is a hands-on technical leadership role for a senior systems engineer who enjoys building durable infrastructure, making principled design tradeoffs, and mentoring other engineers. You will work closely with the founders on system architecture and technical direction, while remaining directly accountable for production code. This is not a people-management role; technical ownership and execution are core expectations. What You’ll Work On • Design and implement backend and distributed systems supporting identity, policy enforcement, observability, and agent lifecycle management, • Build secure, scalable APIs and services that operate reliably in multi-tenant, cloud-native environments, • Make and document system design tradeoffs across consistency, performance, availability, and operational complexity, • Own backend services end to end, from initial design through production deployment, monitoring, and iteration, • Establish backend engineering standards for correctness, testing, observability, and long-term maintainability, • Lead design reviews and mentor engineers through code reviews and technical guidance, • Collaborate closely with security, AI, and product partners to translate platform requirements into robust system designs Required Qualifications • 5–8 years of experience building and operating backend or distributed systems in production environments, • Strong proficiency in one or more backend languages such as TypeScript, Python, or Go, • Experience designing and operating cloud-native services on AWS, GCP, or Azure, • Solid understanding of distributed systems fundamentals, including scalability, fault tolerance, data consistency, and observability, • Experience designing APIs and service boundaries for complex or evolving systems, • Demonstrated ownership of critical systems with responsibility for reliability, performance, and long-term health, • Experience mentoring other engineers or serving as a technical lead on backend or platform projects, • Comfort operating in ambiguous, early-stage environments and helping shape system direction Preferred Qualifications • Experience with event-driven architectures, message queues, or streaming systems, • Familiarity with identity, authentication, authorization, or policy-based systems, • Exposure to security-sensitive, compliance-oriented, or multi-tenant platforms, • Experience operating systems at meaningful scale (high request volume, large datasets, or multi-region deployments), • Strong production observability practices across metrics, logs, and traces, • Prior experience at an early-stage startup or on foundational infrastructure teams, • Exposure to AI-adjacent systems or data pipelines (nice to have, not required) Why Alterion • Build foundational infrastructure for the next generation of AI systems, • Work directly with the founders on architecture and long-term technical direction, • Own meaningful, high-impact systems from day one, • Join a small, senior team that values depth, judgment, and quality, • Competitive compensation, meaningful equity, and the opportunity to shape a new category

Hiring a Technical Lead for a High bar Series A scale up who care about building 3D AI tools for the physical world. You'll be working alongside a deeply technical, mission driven teaming building the AI layer that future hard tech innovation will run on. They received $30m of Series A funding from the likes of A16z and are founded by second time CEO in this space. This is a high impact, hands on lead position shaping the core product and architecture of their intelligent design environment. You will design & build scalable full stack systems (python & react ideally) and architect the backend on AWS and modern data infrastructure. A key element of this role will be ownership and scale. This role blends product thinking, infrastructure depth, and applied AI integration, ideal for someone who has shipped complex production systems and enjoys turning technical capability into elegant user experiences. Comp: 375k plus extra benefits Location: Hybrid - SF

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

AI Engineer (Forward Deployed) SF/NYC - $200k-$300k - early equity Join a small, high-calibre AI team working at the frontier of model development and deployment. This is a hands-on Applied ML role focused on LLM post-training, fine-tuning, and evaluation, adapting models for real-world use cases and pushing performance in production environments. What You’ll Do: • Fine-tune and iterate on LLMs, • Build and run evaluation frameworks to measure real performance, • Prepare and curate training data from messy, real-world inputs, • Debug training and inference issues, improving model reliability, • Support deployment of models into production environments What We’re Looking For: • Strong hands-on experience with LLM post-training and fine-tuning, • Deep understanding of evaluation methodology and model quality, • Comfortable with training infrastructure and debugging training runs, • Strong Python engineering fundamentals and experience shipping ML systems, • Ability to operate in fast-paced, ambiguous environments